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 current technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

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

📌 Senior Consultant (Chennai)
🏢 Virtusa
📍 Chennai