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Lead I - Data Engineering

Lead I - Data Engineering

UST

5 years

0 Lacs

pune maharashtra india

Posted:1 day ago| Platform:

Apply

Skills Required

data engineering azure scaling etl design pyspark python governance relational postgresql support storage sql transactions communication agile devops code kafka stack databricks adf git terraform spark

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

enior Data Engineer (Azure/Databricks)

Overview

We are seeking a

Senior Data Engineer

with

5+ years of hands-on experience

in building and scaling data solutions within the

Azure ecosystem

. The ideal candidate will have deep expertise in

Databricks

PySpark

, and

modern data lake architectures

, and be adept at designing robust

ETL pipelines

and data workflows.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure and Databricks.
Build efficient data ingestion and transformation workflows with PySpark and Delta Lake.
Develop, optimize, and maintain ETL/ELT pipelines using Python and SQL.
Implement data modeling, data quality, and governance best practices.
Work with relational databases (e.g., PostgreSQL) and lakehouse architectures (e.g., Delta Lake).
Collaborate with cross-functional teams to troubleshoot, optimize, and support production workloads.

Required Skills & Experience

5+ years of data engineering experience.
Strong proficiency in the Azure ecosystem, including:

Azure Databricks
Azure Data Lake Storage (ADLS)
Azure Functions
Azure Data Factory (preferred)

Advanced PySpark and SQL expertise, including performance tuning.
Deep understanding of ETL/ELT design patterns and data warehousing concepts.
Experience with Delta Lake (ACID transactions, schema evolution, time travel).
Hands-on experience with PostgreSQL or similar RDBMS.
Strong analytical, problem-solving, and communication skills.
Self-motivated and comfortable in fast-paced, agile environments.

Preferred Skills

Familiarity with CI/CD pipelines (Azure DevOps, Git).
Knowledge of Infrastructure-as-Code tools (Terraform).
Exposure to real-time streaming technologies (Kafka, Event Hub).
Awareness of data governance tools (e.g., Microsoft Purview).

Technical Stack

Languages & Tools:

Python, PySpark, SQL

Platforms:

Azure Databricks, ADLS, Azure Functions, ADF

Databases:

PostgreSQL, Delta Lake

DevOps & Governance:

Azure DevOps, Git, Terraform, PurviewWould you like me to turn this into a

forma

Skills

Python,Spark,Azure

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