Data Engineer

Pune, Maharashtra
Permanent
Full-time

6 days ago

The RoleThe Data Engineer is accountable for developing high quality data products to support theBank’s regulatory requirements and data driven decision making. A Data Engineer will serveas an example to other team members, work closely with customers, and remove orescalate roadblocks. By applying their knowledge of data architecture standards, datawarehousing, data structures, and business intelligence they will contribute to businessoutcomes 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)

5 to 8 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

Technical Skills (Must Have)

ETL:

Hands on experience of building data pipelines. Proficiency in two or more dataintegration platforms such as Ab Initio, Apache Spark, Talend and Informatica

Big Data

: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake fordata storage and processing

Data Warehousing & Database Management

: Understanding of DataWarehousing 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 indata engineering such as Python, Java or Scala

DevOps

: Exposure to concepts and enablers - CI/CD platforms, version control,automated quality control managementTechnical 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 underlyingarchitectures 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:

Basics of Job scheduler like Autosys. Basics of Entitlement management

Certification on any of the above topics would be an advantage.

Job Family Group: TechnologyJob Family: Digital Software EngineeringTime Type: Full timeMost Relevant Skills Please see the requirements listed above.Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.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.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .View Citi’s and the poster.

Citigroup

Apply Now