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Lead I - Data Engineering

Lead I - Data Engineering

UST

5 years

0 Lacs

pune maharashtra india

Posted:2 days ago| Platform:

Apply

Skills Required

data engineering azure databricks apache spark java etl pipeline development support analytics design sql governance relational postgresql deployment reliability scalability storage tuning query optimization transactions debugging communication devops git code terraform kafka pyspark

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Title: Senior Data Engineer – Azure & Databricks

Overview

We are seeking a highly skilled

Senior Data Engineer

with

5+ years of hands-on experience

in building scalable, high-performance data solutions within the

Azure ecosystem

. The ideal candidate will have strong expertise in

Databricks, Apache Spark (Java), modern data lake architectures

, and end-to-end ETL pipeline development. This role involves designing, developing, and optimizing data systems that support business-critical analytics and operational use cases.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure services and Databricks.
Build efficient data ingestion and transformation workflows leveraging Databricks, Spark, and Delta Lake.
Develop, enhance, and optimize ETL pipelines using Java, Spark, and SQL.
Implement industry-best practices for data modeling, data quality, governance, and pipeline performance.
Work with relational and lakehouse data platforms, including PostgreSQL and Delta Lake.
Collaborate with cross-functional teams to ensure smooth execution, deployment, and support of production data workloads.
Troubleshoot performance issues and optimize workloads for reliability and scalability.

Required Skills & Experience

5+ years of hands-on experience in Data Engineering.
Strong working knowledge of the Azure ecosystem, specifically:

Azure Databricks
Azure Data Lake Storage (ADLS)
Azure Functions
Azure Data Factory (preferred but not mandatory)

Expertise in Apache Spark with Java (Spark Core, Spark SQL, Spark Streaming).
Advanced SQL skills including performance tuning and complex query optimization.
Strong understanding of ETL/ELT methodologies, data warehousing concepts, and lakehouse architectures.
Experience with Delta Lake features such as schema evolution, ACID transactions, and time travel.
Hands-on experience with PostgreSQL or similar relational databases.
Excellent analytical, problem-solving, and debugging skills.
Strong communication skills with the ability to work with technical and non-technical stakeholders.
Self-motivated, proactive, and comfortable working in fast-paced environments.

Preferred Skills

Experience with CI/CD tools such as Azure DevOps and Git.
Knowledge of Infrastructure-as-Code (IaC) tools like Terraform.
Exposure to streaming technologies such as Kafka or Azure Event Hub.
Familiarity with data governance tools such as Azure Purview.

Skills

Azure Cloud,Java,Pyspark

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Lead I - Data Engineering