Data Engineer (Azure Synapse | ADF | Databricks)
Experience:
5–7 Years
Location:
Pune
Job Description
We are looking for a hands-on
Data Engineer
with strong experience in
Azure Synapse, Azure Data Factory, PL/SQL, Databricks, Python, Terraform,
and CI/CD
. The candidate will be responsible for migrating existing on-premise ETL
processes to Azure Synapse, developing scalable data pipelines, optimizing
data processing, and supporting cloud-based data engineering initiatives.
Key Responsibilities
-
Migrate existing ETL processes and database objects from on-premise
systems to
Azure Synapse
.
-
Develop complex and optimized
Stored Procedures, Functions, and SQL queries
.
-
Design and maintain automated data pipelines using
Azure Data Factory (ADF)
.
-
Build pipelines to move data from on-premise SQL databases to Azure
Synapse.
-
Perform
query and pipeline performance tuning
and resolve bottlenecks.
-
Work on
PL/SQL, database architecture, and optimization
of existing procedures and processes.
-
Develop automation using
Python
, including Pandas and NumPy.
-
Work with
Azure Functions and Logic Apps
for process automation.
-
Build complex data transformation processes using
Databricks
.
-
Maintain and enhance migration templates using
Terraform
.
-
Support existing
CI/CD pipelines
and implement enhancements and feature branches.
-
Ensure data quality, reliability, and performance for downstream reporting
and analytics.
Required Skills
-
Azure Synapse
-
Azure Data Factory
-
Advanced SQL / PL/SQL
-
Database Architecture
-
Performance Tuning
-
Databricks
-
Python
-
Pandas / NumPy
-
Terraform
-
CI/CD
-
Git / GitHub