Job Title: Data Engineer
Experience: 5-7 years
Relevant Experience – 5 years
Work location: Bangalore/ Pune/Hyderabad/Chennai/Noida
Job Description
Data engineers design, build, and maintain the infrastructure for an organization's data,
ensuring it is reliable, accessible, and optimized for use by data scientists and analysts. Key
responsibilities include creating and managing data pipelines (ETL processes), optimizing data
storage and processing, ensuring data quality and security, and collaborating with other teams
to meet data needs.
Responsibilities
Design and build data infrastructure:
Create and maintain scalable data pipelines, databases, and data warehouses to handle large
volumes of data from various sources.
Ensure data quality and reliability:
Implement data cleansing, validation, and quality checks to ensure the data is accurate and
trustworthy.
Optimize data systems:
Monitor and tune performance of databases and data processing tasks to ensure efficiency and
speed.
Collaborate with stakeholders:
Work with data scientists, analysts, and other teams to understand their data requirements and
make data accessible for their use.
Key skills
Data Platform Project
Autonomous level people
Skillsets needed (Mandatory)
Pyspark, Spark SQL -
Databricks
Data Governance – Unity Catalog
Python – Pandera Framework
REST API Frameworks
Nice to have
Cloud platforms: Experience with cloud services (e.g. GCP Services - Cloud build, BigQuery,
Firestore etc…
Airbyte/Fivetran
Nutter Framework – Experience in writing unit test in Nutter Framework
Terraform Mandatory.
CI/CD Concepts
OAuth 2 Protocol
Analytical and problem-solving skills: Strong analytical abilities are needed to troubleshoot
issues and find solutions.
Sr Data Engineer • Vadodara, IN