PySpark Data Engineer Assistant Vice President

Citi; Chennai District; Sur place; INR 2 600 000 - 5 200 000; Plein temps

Résumé du poste

Citi is seeking a Data Engineer to design and implement scalable data solutions in a regulatory and data-driven context. You will collaborate with global teams to deliver resilient data pipelines and analytical models.

The role requires advanced SQL, experience with big data technologies, and the ability to mentor colleagues on complex data tasks within an Agile framework. This is a challenging opportunity in Chennai, India.

Qualifications

• 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 personal growth.
• Excellent communication and problem-solving skills.
• Inclination to mentor; ability to lead and deliver medium sized components independently.

Responsabilités

• 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

Connaissances

ETL pipelines

SQL

Data modeling

Cloud

Programming

CI/CD

Data governance

Big Data

Formation

BE/BTech or equivalent

Outils

Ab Initio

Apache Spark

Talend

Informatica

Hadoop/Hive

Snowflake

Oracle

MSSQL

Description du poste

Job Description:

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 ofprinciples 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.

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.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements: