Senior Data Developer Job at TechTalent Software

Big Data Application Development Senior Programmer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-10 years of Development experience in big data space
Core Java
Full Stack developer
Big Data Frameworks
Hadoop
Scala
Hive
Impala
Kafka
Elastic

Job Responsibility

Develop real time and batch data transformation processes using wide range of technologies using Hadoop, Spark Stream, Spark SQL, Python, Hive etc
Ability to translate architecture and low-level requirements to design and code using Big-data tools and processes
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Critically evaluate the current processing and recommend process efficiencies/enhancements
Work closely with Technology partners to ensure the Business requirements are met by the development team

Fulltime

Senior Python Big Data Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7 - 12 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience
Strong expertise in Big Data technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera)
Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka
Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation
Proficiency in Python and Shell scripting for data processing and automation

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Senior Python Big Data Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7 - 12 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience
Strong expertise in Big Data technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera)
Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka
Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation
Proficiency in Python and Shell scripting for data processing and automation

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Mainframe Developer / Senior Developer

This is a developer / senior developer position for a skilled Mainframe Develope...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

COBOL structured programming
JCL (Job Control Language)
CICS (Transaction management, BMS, pseudo-conversational programming)
Very Good knowledge in CICSPlex development and configuration standards
VSAM (KSDS, ESDS, RRDS datasets) or DB2 (SQL queries, performance tuning)
TSO/ISPF (Time Sharing Option/Interactive System Productivity Facility)
File-AID (Data analysis and manipulation)
COBOL Debugging tool – i.e. IBM DEBUG
Abend-AID (Dump analysis and debugging)
IBM Mainframe utilities (IEBGENER, SORT, IDCAMS, etc.)

Job Responsibility

Design, develop, test, and maintain mainframe applications using COBOL, JCL, VSAM, DB2, and CICS with Mainframe tools and utilities
Analyze system requirements and create high-level and low-level technical documents
Optimize mainframe application performance and troubleshoot issues
Work with batch processing systems and scheduling tools like TWS/CA-7
Develop and maintain database objects VSAM/DB2
Collaborate with business analysts, system architects, and quality assurance teams

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join their product DE team. T...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Partner across engineering teams to tackle company-wide initiatives
Mentor junior members of the team
Partner with leadership, engineers, program managers and data scientists to understand data needs
Apply expertise and build scalable data solution
Develop and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
Intelligently design data models for storage and retrieval
Deploy data quality checks to ensure high quality of data
Ownership of the end-to-end data engineering component of the solution
Support on-call shift to support the team
Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Job Responsibility

Build top-notch data solutions and data architecture to inform our most critical strategic and real-time decisions
Help translate business needs into data requirements and identify efficiency opportunities

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Developer

TechTalent Software

Location:
Romania

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 14, 2026

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