PySpark Data Engineer – Assistant Vice President

Citibank (Switzerland) AG; Chennai District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Citibank (Switzerland) AG is hiring a Data Engineer – C12 / Assistant Vice President in Chennai. You will design and implement data pipelines, analytics models, and data governance practices to support regulatory reporting and data-driven decisions.

You should have 9–11 years of experience with ETL, SQL, and cloud-native data architectures, and be adept at mentoring teammates while delivering critical components on an agile team. This is a hybrid role in Chennai.

Qualifications

• First Class Degree in Engineering/Technology (4-year graduate course).
• 9–11 years’ experience building data-intensive solutions in agile teams.
• Strong SQL skills for data querying, transformation and manipulation.

Responsibilities

• Develop and support scalable, extensible data solutions for regulatory and analytics needs.
• Deliver on critical priorities while aligning with architectural vision.
• Identify and mitigate risks in the data supply chain and ensure data quality.

Skills

ETL pipelines

Big Data platforms

Data warehousing

Data modeling

Python

Java

Scala

SQL

DevOps

Data governance

Ab Initio

Hadoop

Hive

Snowflake

Databricks

Redshift

Tableau

Power BI

Docker

Kubernetes

Education

First Class Degree in Engineering/Technology (4-year graduates)

Tools

Ab Initio

Spark

Oracle

MSSQL

MySQL

MongoDB

DynamoDB

Job description

## PySpark Data Engineer – Assistant Vice PresidentApply: Hybrid: Chennai Tamil Nadu India: Full time: Posted Today: 26996384**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 BICertification on any one or more of the above topics would be an advantage.