Data Engineer(big Data,cloud - Aws, Databricks) - Assistant Vice President - C12 - Pune
Citi Handlowy
Pune, Maharashtra, India
On-site
Scala, spark/pyspark
Aws, databricks
Hadoop (big data)
Citi Handlowy is seeking a Data Engineer for their Pune location, focusing on developing high-quality data products to support regulatory requirements and data-driven decision-making. The ideal candidate should have extensive experience with Big Data technologies, cloud platforms, and data architecture, alongside strong communication and problem-solving skills
Job Summary
The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making.
Developing and supporting scalable, extensible, and highly available data solutions while ensuring alignment with the wider architectural vision.
Ability to automate and streamline the build, test and deployment of data pipelines.
Matching Summary
Match Score: 85
Citi Handlowy is seeking a Data Engineer for their Pune location, focusing on developing high-quality data products to support regulatory requirements and data-driven decision-making. The ideal candidate should have extensive experience with Big Data technologies, cloud platforms, and data architecture, alongside strong communication and problem-solving skills.
Skills & Requirements
Must-have
Scala, Spark/Pyspark
AWS, Databricks
Hadoop (BIG Data)
SQL for data querying
Data modeling for analytical consumers
ETL data pipelines
Big data platforms (Hadoop, Hive, Snowflake)
Data Warehousing concepts
Relational and NoSQL database design
Data modeling techniques
Python, Java, or Scala programming
DevOps concepts (CI/CD, version control)
Data Governance principles
Nice-to-have
Cloud native technologies
Automate build, test, deployment
Ab Initio development
Containerization platforms (Docker, Kubernetes)
Event/File/Table formats (Avro, Parquet, Delta)
Job scheduler experience (Autosys)
Business Intelligence tools (Tableau, Power BI)
Key Requirements
8 to 11 years’ experience implementing data-intensive solutions
Experience with agile methodologies
Experience of relational databases
Experience of modelling data for analytical consumers
Experience in cloud native technologies and patterns