Senior Data Engineer
Pune, MH, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingManage and maintain data process documentation
Partner with Support team to ensure stability of production environment with proactive monitoring and health checks.
From the employer’s posting
* Exhibit strong leadership qualities, fostering a positive and collaborative work environment, providing guidance and mentorship to team members, and promoting a culture of continuous learning. · Implement data governance and management, quality standards and data controls to ensure data accuracy and security so downstream applications can consume data confidently. Manage and maintain data process documentation · Define Contribute to technical direction and enhancement as a technical expert in data development and implementation phases, providing in-depth and sophisticated analyses to define problems and develop innovative solutions
* Demonstrate a data-driven approach to problem-solving and decision-making, utilizing metrics, and performance indicators to assess team efficiency and identify improvement opportunities. * Manage and maintain data processes and jobs. Partner with Support team to ensure stability of production environment with proactive monitoring and health checks. * Partner with other Citi development teams to build APIs, integrations and share components that are critical to our platform’s success.
Education & alternatives
Education: * Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Tools in this posting
- Python
- AWS
- Databricks
- Docker
- Kafka
- Oracle
- S3
- Snowflake
- Trino
- Airflow
Source — Tool mentions in context
* Strong experience in designing and building best in class enterprise data engineering excellence in a highly matrixed, complex organization * Strong experience in architecting complex end-to-end data pipelines in a highly available, distributed systems of data extraction, ingestion, processing of large data sets. * Strong hands-on in advanced development experience in large database, complex data models, procedures, error handling, performance tuning/profiling, data security, database optimization and configurations. * Solid experience in complex data integration * Strong experience in large complex physical and logical data model design and development for data warehouse, reporting and reference and master data. * Hands-on experience with complex data integration and developing scalable, high-volume data pipelines using APIs, Python, Airflow, and Spark * Experience in data mesh technologies Trino/Starburst, S3, distributed stream processing Kafka * Strong experience in developing data quality and reconciliation controls, data lineage and data catalog documentations, data control monitoring and proactively identify and resolve data inconsistency and gaps * Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management. * Strong hands-on experience in S3, Starburst, Oracle database, Databricks and Snowflake preferred. * Strong hands-on experience with modern software paradigms including cloud-native (AWS, Docker) and microservices * Experience in implementation of DevOps such as CI/CD and modern best practices such as testing frameworks and the SOLID principles; CI/CD tooling, automation of testing tools * Passion and commitment for adopting new technologies with exploratory mind-set * Experience working in an Agile/Scrum work environment * Experience in building observability and monitoring for data processes and jobs * Innovative ideas and can-do attitude to work under pressure * Experience in building data quality control and monitoring * Understanding trading data and experience working in the financial services is required * Proficiency with modern AI coding and testing tools * Development DBA experience in a plus.
* Hands-on experience with complex data integration and developing scalable, high-volume data pipelines using APIs, Python, Airflow, and Spark * Experience in data mesh technologies Trino/Starburst, S3, distributed stream processing Kafka * Strong experience in developing data quality and reconciliation controls, data lineage and data catalog documentations, data control monitoring and proactively identify and resolve data inconsistency and gaps * Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management. * Strong hands-on experience in S3, Starburst, Oracle database, Databricks and Snowflake preferred. * Strong hands-on experience with modern software paradigms including cloud-native (AWS, Docker) and microservices * Experience in implementation of DevOps such as CI/CD and modern best practices such as testing frameworks and the SOLID principles; CI/CD tooling, automation of testing tools * Passion and commitment for adopting new technologies with exploratory mind-set * Experience working in an Agile/Scrum work environment * Experience in building observability and monitoring for data processes and jobs * Innovative ideas and can-do attitude to work under pressure * Experience in building data quality control and monitoring * Understanding trading data and experience working in the financial services is required * Proficiency with modern AI coding and testing tools * Development DBA experience in a plus. Recommended Qualifications:
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 2026 · 7 days ago
- Recorded sightings
- 44
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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- Ask the employer about the pay range before committing time to the process.
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- Location & working pattern
Pune, MH, IN
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