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
Technical 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
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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.------------------------------------------------------
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Skills Required
- 6+ years experience in data engineering
- Strong proficiency in Python, Pyspark, UNIX shell scripting
- Experience with Apache Spark, Hadoop, and SQL databases
- Experience in cloud native technologies
- Experience in building scalable data pipelines
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
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