Applications Development Sr Programmer Analyst - C12 - PUNE

Citigroup; Pune District; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

Citi in India seeks a senior Data Engineer to develop high quality data products supporting regulatory needs and data-driven decisions. You will work on data architecture, warehousing, and BI, coordinating with customers on an agile team.

Responsibilities include building scalable data solutions, ensuring alignment with architectural vision, and mentoring team members while addressing data pipeline risks and governance.

Qualifications

• First Class Degree in Engineering/Technology (4-year graduate course).
• 9 to 11 years' experience implementing data-intensive solutions using agile methodologies.
• Experience with relational databases and SQL data querying and transformation.
• Experience modelling data for analytical consumers.
• Ability to automate build, test and deployment of data pipelines.
• Experience in cloud native technologies and patterns.
• Strong communication and problem-solving skills; mentoring capability.

Responsibilities

• Developing and supporting scalable, extensible, and highly available data solutions.
• Deliver on critical business priorities while aligning with architectural vision.
• Identify and address potential risks in the data supply chain.
• Follow and contribute to technical standards.
• Design and develop analytical data models.

Skills

SQL

Data Modeling

ETL Pipelines

Cloud Technologies

Python

Java

Scala

CI/CD

Data Governance

Mentoring

Communication

Education

Engineering/Technology degree

Tools

Ab Initio

Apache Spark

Talend

Informatica

Hadoop

Hive

Snowflake

Oracle

MSSQL

MySQL

Databricks

BigQuery

Docker

Kubernetes

Job description

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 elevate 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) 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)

• 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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

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