Posted:5 days ago|
Platform:
On-site
Full Time
o Design and build efficient data pipelines using Azure Databricks (PySpark).
o Implement business logic for data transformation and enrichment at scale.
o Manage and optimize Delta Lake storage solutions.
o Develop REST APIs using FastAPI to expose processed data.
o Deploy APIs on Azure Functions for scalable and serverless data access.
o Develop and manage Airflow DAGs to orchestrate ETL processes.
o Ingest and process data from various internal and external sources on a scheduled basis.
o Handle data storage and access using PostgreSQL and MongoDB.
o Write optimized SQL queries to support downstream applications and analytics.
o Work cross-functionally with teams to deliver reliable, high-performance data solutions.
o Follow best practices in code quality, version control, and documentation.
· 5+ years of hands-on experience as a Data Engineer.
· Strong experience with Azure Cloud services.
· Proficient in Azure Databricks, PySpark, and Delta Lake.
· Solid experience with Python and FastAPI for API development.
· Experience with Azure Functions for serverless API deployments.
· Skilled in managing ETL pipelines using Apache Airflow.
· Hands-on experience with PostgreSQL and MongoDB.
· Strong SQL skills and experience handling large datasets.
SPEC INDIA
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Ahmedabad, Gujarat, India
Salary: Not disclosed
Ahmedabad, Gujarat, India
Salary: Not disclosed
