JOB ID: QT-SNB-07-335

Job Summary

We are looking for a skilled Data Engineer to join our geographically diverse, agile Data Services team. The ideal candidate will have strong experience in Python, SQL, ETL/data pipelines, Treasure Data, Customer Data Platforms (CDP), AWS, Redshift, PostgreSQL, and Presto/Trino .

The Data Engineer will be responsible for developing and enhancing existing and new data solutions, building reliable data feeds from APIs, troubleshooting ETL workflows, designing data models and architectures, and solving complex data transformation challenges.

This role requires someone who can work independently, collaborate effectively with engineering and business teams, and proactively identify better solutions to meet customer and business needs.

Key Responsibilities

- Develop, maintain, and enhance data solutions and ETL workflows using Python, SQL, and Treasure Data .
- Build and maintain reliable data feeds from source APIs and external systems .
- Analyze business requirements and User Stories and translate them into scalable data engineering solutions.
- Troubleshoot and resolve ETL, pipeline, transformation, and data-quality issues with minimal supervision.
- Design and optimize complex ETL/ELT pipelines and data transformations .
- Read, understand, and work with data model diagrams and data architecture specifications .
- Design and maintain data architecture aligned with business and customer requirements.
- Work with PostgreSQL, AWS Redshift, Presto/Trino , and other data platforms.
- Develop and maintain workflows within Treasure Data Customer Data Platform (CDP) .
- Integrate data from APIs, databases, files, and other enterprise data sources.
- Analyze complex data challenges and recommend alternative technical approaches and solutions.
- Define appropriate data models, transformation logic, data contracts, and processing strategies.
- Document proposed solutions, technical designs, data flows, and implementation approaches.
- Create and execute QA and data validation test plans for data pipelines and transformations.
- Perform QA and code/data reviews for solutions developed by other team members.
- Collaborate with engineering teams, product teams, business stakeholders, and customers to clarify and refine requirements.
- Support data analysis, reporting, and ad-hoc data requirements when needed.




- Participate actively in Scrum/Kanban ceremonies , sprint planning, backlog refinement, stand-ups, and retrospectives.
- Use Jira and Confluence for project planning, documentation, communication, and tracking.
- Use Git/Bitbucket for source control and collaborative development.
- Work independently while contributing effectively to team-level technical decisions.

Required Technical Skills Programming & Data Engineering
- Python
- SQL
- ETL/ELT and data pipeline development
- Data transformation and data integration
- API integration and data feeds
- Data modelling and data architecture
- Object-oriented programming concepts

Data Platforms & Databases
- Treasure Data / Treasure Data CDP
- PostgreSQL
- AWS Redshift
- Presto / Trino
- Redshift Spectrum

AWS Hands-on experience or strong familiarity with:
- Amazon S3
- Amazon Redshift
- Redshift Spectrum
- AWS Lambda
- AWS Glue
- Amazon EC2

Development & Collaboration Tools
- Git / Bitbucket
- Jira
- Confluence
- Agile development practices
- Scrum / Kanban

Preferred Skills
- Experience with Apache Airflow and workflow orchestration.
- Experience with Power BI or other BI/reporting tools.
- Strong understanding of object-oriented programming and system design.
- Experience working with Customer Data Platforms (CDP) .
- Experience supporting marketing and customer analytics teams .
- Exposure to marketing data platforms such as:
- Eloqua
- Salesforce
- Email campaign and engagement datasets
- Customer interaction data

- Experience designing scalable data architectures and enterprise data solutions.
- Knowledge of data quality, validation, monitoring, and pipeline optimization.

Qualifications
- 5+ years of experience in Data Engineering or a closely related role.
- Bachelors degree in Computer Science, Information Technology, Engineering, or equivalent relevant qualification.
- Strong hands-on experience with Python, SQL, ETL, and data pipelines .
- Experience with Treasure Data and CDP workflows .




- Strong experience with PostgreSQL and AWS Redshift .
- Working knowledge of Presto/Trino .
- Experience developing and maintaining API-based data feeds.
- Solid analytical and problem-solving abilities.
- Ability to understand data models and translate business requirements into technical solutions.

Agile & Delivery Responsibilities
- Participate in Scrum/Kanban ceremonies and contribute to sprint commitments.
- Break down complex data requirements into actionable technical tasks.
- Estimate work and communicate technical dependencies and risks.
- Collaborate with geographically distributed engineering teams.
- Maintain clear technical documentation in Confluence.
- Track development and delivery activities through Jira.
- Participate in peer reviews and QA activities.
- Continuously improve development and data engineering practices.

Ideal Candidate Qualities
- Naturally curious and focused on understanding the why behind requirements.
- Strong customer-centric mindset with empathy for business users.
- Passionate about solving complex data and customer problems.
- Takes complete ownership of assigned work from requirements through delivery.
- Focused on building reliable, scalable, and high-quality data solutions.
- Proactively identifies risks, bottlenecks, and opportunities for improvement.
- Comfortable working independently while actively collaborating with distributed teams.
- Open to experimentation, learning, and adopting new technologies.
- Prioritizes customer and business impact over titles and hierarchy.
- Strong communicator who can explain technical data concepts to both technical and non-technical stakeholders.

Key Skills for Sourcing Python | SQL | Data Engineering | ETL | ELT | Data Pipelines | Treasure Data | Treasure Data CDP | AWS | Redshift | PostgreSQL | Presto | Trino | S3 | Redshift Spectrum | Lambda | Glue | EC2 | API Integration | Data Feeds | Data Modelling | Data Architecture | Airflow | Jira | Confluence | Git | Bitbucket | Scrum | Kanban | Power BI | Salesforce | Eloqua

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer - Treasure Data / CDP (Nagpur)
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