Job Title: Data Engineer – C12 / Assistant Vice President (India)
The Role
The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
Responsibilities
- Developing and supporting scalable, extensible, and highly available data solutions
- Deliver on critical business priorities while ensuring alignment with the wider architectural vision
- Identify and help address potential risks in the data supply chain
- Follow and contribute to technical standards
- Design and develop analytical data models
Required Qualifications & Work Experience
- First Class Degree in Engineering/Technology (4-year graduate course)
- 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies
- Experience of relational databases and using SQL for data querying, transformation and manipulation
- Experience of modelling data for analytical consumers
- Ability to automate and streamline the build, test and deployment of data pipelines
- Experience in cloud native technologies and patterns
- A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
- Excellent communication and problem-solving skills
- An inclination to mentor; an ability to lead and deliver medium sized components independently
Technical Skills (Must Have)
- ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
- Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing
- Data Warehousing & Database Management: Expertise around 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, Java or Scala
- DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
- Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance
Technical Skills (Valuable)
- Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
- Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
- Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
- Containerization: Fair understanding of containerization platforms like Docker, Kubernetes
- File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
- Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI
Certification on any one or more of the above topics would be an advantage.
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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
- First Class four-year degree in Engineering or Technology
- 9 to 11 years of experience implementing data-intensive solutions using agile methodologies
- Experience with relational databases and SQL querying, transformation, and manipulation
- Experience modeling data for analytical consumers
- Ability to automate and streamline data pipeline build, test, and deployment
- Experience with cloud-native technologies and patterns
- Excellent communication and problem-solving skills
- Ability to mentor others and independently lead medium-sized components
- Hands-on ETL data pipeline development
- Proficiency in at least two data integration platforms, including Ab Initio, Apache Spark, Talend, or Informatica
- Experience with big data platforms such as Hadoop, Hive, or Snowflake
- Expertise in data warehousing and relational or NoSQL database design
- Exposure to data modeling, optimization, and maintenance of data models and structures
- Proficiency in one or more data engineering languages, including Python, Java, or Scala
- Exposure to DevOps concepts, CI/CD, version control, and automated quality control
- Strong understanding of data quality, security, privacy, and compliance
- Ab Initio Co>Op graph development and performance tuning experience
- Experience with public cloud data platforms such as S3, Snowflake, Redshift, Databricks, or BigQuery
- Understanding of cloud data platform architectures and trade-offs
- Exposure to data validation, cleansing, enrichment, and data controls
- Understanding of Docker or Kubernetes containerization
- Experience with Avro, Parquet, Protobuf, Iceberg, or Delta file and table formats
- Experience with job schedulers such as Autosys
- Exposure to business intelligence tools such as Tableau or Power BI
- Relevant certification in one or more listed technical areas
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 — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
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