Data Test Engineer Job at OptiSol Business Solutions (Chennai)

Data Test Engineer

We are looking for a skilled Data Test Engineer who can design, build, and valid...

Location

India , Chennai

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

4+ years of experience in Data Engineering and Data/ETL Testing
Strong expertise in writing and optimizing SQL queries (joins, subqueries, window functions, performance tuning)
Proficiency in Python or PySpark for data transformation and automation
Hands-on experience with ETL tools such as Azure Data Factory, Talend, SSIS, or Informatica
Familiarity with cloud platforms, preferably Azure
AWS or GCP is a plus
Experience working with data lakes, data warehouses (Snowflake, BigQuery, Redshift), and modern data platforms
Knowledge of version control systems (Git), issue tracking tools (JIRA), and Agile methodologies
Exposure to data testing frameworks like Great Expectations, DBT tests, or custom validation tools
Experience integrating data testing into CI/CD pipelines

Job Responsibility

Design, develop, and maintain robust ETL/ELT pipelines to process large volumes of structured and unstructured data using Azure Data Factory, PySpark, and SQL-based tools
Collaborate with data architects and analysts to understand transformation requirements and implement business rules correctly
Develop and execute complex SQL queries to validate, transform, and performance-tune data workflows
Perform rigorous data validation including source-to-target mapping (S2T), data profiling, reconciliation, and transformation rule testing
Conduct unit, integration, regression, and performance testing for data pipelines and storage layers
Automate data quality checks using Python and frameworks like Great Expectations, DBT, or custom-built tools
Monitor data pipeline health and implement observability through logging, alerting, and dashboards
Integrate testing into CI/CD workflows using tools like Azure DevOps, Jenkins, or GitHub Actions
Troubleshoot and resolve data quality issues, schema changes, and pipeline failures
Ensure compliance with data privacy, security, and governance policies

What we offer

Competitive salary aligned with industry standards
Hands-on experience with enterprise-scale data platforms and cloud-native tools
Opportunities to work on data-centric initiatives across AI, analytics, and enterprise transformation
Access to internal learning accelerators, mentorship, and career growth programs
Flexible work culture, wellness initiatives, and comprehensive health benefits

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Sr. Data Engineer I, Data Infrastructure

Khan Academy is partnering with SafeInsights to provide researchers access to st...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering within a production environment
Experience with Google infrastructure services and data services particularly GCS & Big Query
Advanced knowledge of Python
Strong SQL skills
Demonstrated proficiency with Docker and Kubernetes
Experience with Airflow
Background in applied math, statistics, economics, or a related technical field
Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere"
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.

Job Responsibility

Collaborate with our Data Insights Group to understand the desired end data product and the overall projects goals
Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
Propose tooling and processes that will work with extant Khan Academy systems to meet the projects goals
Build test and refine these tools and processes
Deliver the SafeInsights container and associated project deliverables
Provide documentation and training required to maintain and enhance the above

What we offer

Competitive salaries
Ample paid time off as needed
Remote-first culture
Generous parental leave
An exceptional team
The chance to put your talents towards a deeply meaningful mission
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

Electrical Engineer II, RF Test Engineer

As an RF Test Engineer, your work will be essential in ensuring that the wireles...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Electrical Engineering, RF Engineering or similar discipline
Minimum of 3 years of hands-on RF and wireless device testing experience
Minimum of 3 years of wireless device test plan development for evaluating performance of various wireless interfaces against system and product requirements
Solid understanding of basic RF principles and theory, familiar with basic RF technology circuitry stages and topologies
Experience with modern RF technology including multiband Wi-Fi, Bluetooth, Cellular (LTE, 5G FR1), and multi-constellation GNSS and their test methodologies
Cellular experience is a must-have
High level of familiarity of cellular certification processes, test requirements, and test methods (PTCRB, CTIA, GCF, Carrier testing, etc), with hands on experience with device pretesting
Familiarity of worldwide EMC and intentional radiator regulatory standards and test methods (FCC, CE, ETSI, etc)
Proficient with operation of RF equipment such as RF communication testers (CMW, CMX, Litepoint), Network Analyzers, Spectrum Analyzers, RF power meters, Signal Generators, RF Test chambers
Experience with collaborative RF debug at device and circuit level

Job Responsibility

Design and implement test plans to evaluate the performance of wirelessly connected devices, ensuring they meet stringent product and regulatory requirements
Record RF test data and organize results, creating clear, actionable reports
Present findings and recommendations to cross-functional teams, enabling swift resolution of design challenges
Evaluate RF performance characteristics such as Total Radiated Power (TRP), Total Isotropic Sensitivity (TIS), and other over-the-air (OTA) metrics for cellular-enabled wireless devices using advanced equipment
Use instruments like spectrum analyzers and radio communication testers to assess conducted performance of wireless technologies, including LTE, 5G, Wi-Fi, Bluetooth, and GNSS
Support product field evaluations to validate RF performance under diverse real-world conditions, such as urban or rural environments
Investigate and debug issues such as poor sensitivity, low transmit power, or signal interference in wireless devices
Assist in the regulatory pre-certification and formal certification test efforts for hardware by preparing test samples, working closely with external test labs, troubleshooting issues, and ensuring successful completion of certification activities
Expand your knowledge of RF systems, testing methodologies, and certification standards while working closely with experienced engineers to develop your technical expertise and contribute to innovative designs

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Data Test Engineer

OptiSol Business Solutions

Location:
India , Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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