Senior Analyst - Data Engineer Job at Puma Energy (Mumbai)

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Data Engineer

Fospha is dedicated to building the world's most powerful measurement solution f...

Location

India , Mumbai

Salary:

Not provided

Blenheim Chalcot

Expiration Date

Until further notice

Requirements

Excellent knowledge of PostgreSQL and SQL technologies
Fluent in Python
Understanding of data architecture, pipelines and ELT flows/ technology/ methodologies
Understanding of agile methodologies and practices
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
Ensure data integrity and quality across various data sources
Support data-driven decision-making by providing clean, reliable, and timely data
Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain
Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data
Conduct exploratory data analysis to uncover data patterns and trends
Identify opportunities for process improvement and drive continuous improvement in data operations
Stay updated on industry trends, technologies, and best practices in data engineering

What we offer

Competitive salary
Be part of a leading global venture builder, Blenheim Chalcot, and learn from the incredible talent in BC
Be exposed to the right mix of challenges and learning and development opportunities
Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc.
25 days of paid holiday + your birthday off
Free snacks in the office
Quarterly team socials

Fulltime

Senior Data Engineer

At Blue Margin, we are on a mission to build the go-to data platform for PE-back...

Location

United States , Fort Collins

Salary:

110000.00 - 140000.00 USD / Year

Blue Margin

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark
Proven ability to manage large datasets and optimize for speed, scalability, and reliability
Strong SQL skills and understanding of relational and distributed data systems
Experience with Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, or Snowflake
Knowledge of data modeling, orchestration, and Delta/Parquet file management best practices
Familiarity with CI/CD, version control, and DevOps practices for data pipelines
Experience leveraging AI-assisted tools to accelerate engineering workflows
Strong communication skills
ability to convey complex technical details to both engineers and business stakeholders

Job Responsibility

Architect, design, and optimize large-scale data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud-native tools
Drive efficiency in incremental/delta data loading, partitioning, and performance tuning
Lead implementations across Azure Synapse, Microsoft Fabric, and/or Snowflake environments
Collaborate with stakeholders and analysts to translate business needs into scalable data solutions
Evaluate and incorporate AI/automation to improve development speed, testing, and data quality
Oversee and mentor junior data engineers, establishing coding standards and best practices
Ensure high standards for data quality, security, and governance
Participate in solution design for client engagements, balancing technical depth with practical outcomes

What we offer

Competitive pay
strong benefits
flexible hybrid work setup

Fulltime

Senior Data Engineer

As a Senior Data Engineer at Corporate Tools, you will work closely with our Sof...

Location

United States

Salary:

150000.00 USD / Year

Corporate Tools

Expiration Date

Until further notice

Requirements

Bachelor’s (BA or BS) in computer science, or related field
2+ years in a full stack development role
4+ years of experience working in a data engineer role, or related position
2+ years of experience standing up and maintaining a Redshift warehouse
4+ years of experience with Postgres, specifically with RDS
4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions
Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies
Experience working with both analytical and transactional databases
Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases
Experience with Grafana or other monitoring/charting systems

Job Responsibility

Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech)
Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources
Consume data from roughly 40 different sources
Collaborate closely with our Data Analysts to get them the data they need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Improve existing data models while implementing new business capabilities and integration points
Creating proactive monitoring so we learn about data breakages or inconsistencies right away
Maintaining internal documentation of how the data is housed and transformed
Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools
Stay current with latest cloud technologies, patterns, and methodologies

What we offer

100% employer-paid medical, dental and vision for employees
Annual review with raise option
22 days Paid Time Off accrued annually, and 4 holidays
After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
Paid Parental Leave
Up to 6% company matching 401(k) with no vesting period
Quarterly allowance
Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
Open concept office with friendly coworkers

Fulltime

Senior Data Analyst

We are currently looking for an Senior Data Analyst to join a fast-growing, inno...

Location

United Kingdom

Salary:

65000.00 - 75000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

2+ years’ experience as a Data Analyst, Data Engineer, or Analytics Engineer
dbt
Advanced SQL skills and experience with data visualisation tools (Tableau preferred)
Knowledge of data modelling, warehousing, and analytics best practices
Strong communication skills with the ability to explain technical findings clearly

Job Responsibility

Design, build, and maintain data models and pipelines
Create engaging dashboards and visualisations to present findings to non-technical audiences
Collaborate with stakeholders to translate business needs into data-driven outcomes
Use analytics to uncover trends, opportunities, and risks that shape company strategy
Champion data best practices and innovation within the wider team

What we offer

Remote working
L&D budget
Bonus
£2,500 personal development budget for certifications, training, and learning
Health insurance (where applicable)

Fulltime

Senior Data Engineer

This project is designed for consulting companies that provide analytics and pre...

Location

Salary:

Not provided

Lightpoint Global

Expiration Date

Until further notice

Requirements

successfully implemented and released data integration services or APIs using modern Python frameworks in the past 4 years
successfully designed data models and schemas for analytics or data warehousing solutions
strong analysis and problem solving skills
strong knowledge of Python programming language and data engineering
deep understanding of good programming practices, design patterns, and software architecture principles
ability to work as part of a team by contributing to product backlog reviews and solution design and implementation
be disciplined in implementing software in a timely manner while ensuring product quality isn't compromised
formal training in software engineering, computer science, computer engineering, or data engineering
have working knowledge with Apache Airflow or a similar technology for workflow orchestration
have working knowledge with dbt (data build tool) for analytics transformation workflows

Job Responsibility

work in an agile team to design, develop, and implement data integration services that connect diverse data sources including event tracking platforms (GA4, Segment), databases, APIs, and third-party systems
build and maintain robust data pipelines using Apache Airflow, dbt, and Spark to orchestrate complex workflows and transform raw data into analytics-ready datasets in Snowflake
develop Python-based integration services and APIs that enable seamless data flow between various data technologies and downstream applications
collaborate actively with data analysts, analytics engineers, and platform teams to understand requirements, troubleshoot data issues, and optimize pipeline performance
participate in code reviews, sprint planning, and retrospectives to ensure high-quality, production-ready code by end of each sprint
contribute to the continuous improvement of data platform infrastructure, development practices, and deployment processes in accordance with CI/CD best practices

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Senior Analyst - Data Engineer

Puma Energy

Location:
India , Mumbai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 09, 2026

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