Citi

Senior Data Engineer - PUNE

Citi

IndiaPosted about 1 month ago
full time
Onsite
Salary
Not disclosed
Posted: June 8, 2026
|
Source: external

Required Skills

Python
Java
SQL
AWS
Docker
Kubernetes
Spark
Hadoop
Airflow
MongoDB
MySQL
CI/CD
REST API
Data Engineering

About This Role

**Discover your future at Citi** -------------------------------- Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. **Job Overview** ---------------- **Job Title:** Data Engineer We are looking for a hands\-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, the candidate will leverage deep technical knowledge and will apply knowledge of data architecture standards, data warehousing, data structures, and business intelligence to drive the creation of high\-quality data products for data driven decision making. **Required Qualifications** 6\+ Years Experience of implementing data\-intensive solutions using agile methodologies. Code contributing member of Agile teams, working to deliver sprint goals. Write clean, efficient, and maintainable code that meets the highest standards of quality. Very strong in coding Python/Pyspark, UNIX shell scripting Experience in cloud native technologies and patterns Ability to automate and streamline the build, test and deployment of data pipelines **T****echnical Skills (Must Have)** * **ETL:** Hands on experience of building data pipelines. Proficiency in data integration platforms such as Apache Spark Experienced in writing Pyspark code to handle large data set ,perform data transformation , familiarity with Pyspark integration with other Apache Spark component ,such as Spark SQL , Understanding of Pyspark optimization techniques Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation. * **Big Data**:Exposure to ‘big data’ platforms such as Hadoop, Hive or Iceberg for data storage and processing * **Data Warehousing \& Database Management**: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design * **Data Modeling \& Design**: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures * **Languages**: Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark, UNIX Shell scripting * **DevOps**: Exposure to concepts and enablers \- CI/CD platforms, bitbucket/Github, JIRA, Jenkins, Tekton, Harness **Technical Skills (Valuable)** * **Data Quality \& Controls**: Exposure to data validation, cleansing, enrichment and data controls, framework libraries like Deequ * **Federated Query**: Starburst, Trino * **Containerization**: Fair understanding of containerization platforms like Docker, Kubernetes, Openshift * **File Formats**: Exposure in working on File/Table Formats such as Avro, Parquet, Iceberg, Delta * **Schedulers**: Basics of Job scheduler like Autosys, Airflow * **Cloud**: Experience in cloud native technologies and patterns (AWS, Google Cloud) * **Nice to have**: Java, for REST API development **Other skills :** * Strong project management and organizational skills. * Excellent problem\-solving, communication, and organizational skills. * Proven ability to work independently and with a team. * Experience in managing and implementing successful projects * Ability to adjust priorities quickly as circumstances dictate * Consistently demonstrates clear and concise written and verbal communication \- **Job Family Group:** --------------------- Technology \- **Job Family:** --------------- Applications Development \- **Time Type:** -------------- Full time \- **Most Relevant Skills** ------------------------ Please see the requirements listed above. \- **Other Relevant Skills** ------------------------- For complementary skills, please see above and/or contact the recruiter. \- *Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.* Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.

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