Azure Databricks

Job description

Position Description:

Your future duties and responsibilities:

We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment.

Key Responsibilities:

Design and implement ETL/ELT pipelines using Azure Databricks and PySpark.

Work with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs).

Optimize Spark jobs for performance and cost-efficiency.

Collaborate with data analysts, architects, and business stakeholders to understand data needs.

Develop reusable code components and automate workflows using Azure Data Factory (ADF).

Implement data quality checks, logging, and monitoring.

Participate in code reviews and adhere to software engineering best practices.

Required Skills & Qualifications:

5+ years of experience in Apache Spark / PySpark.#LI-SK38

5+ years working with Azure Databricks and Azure Data Services (ADLS Gen2, ADF, Synapse).

Strong understanding of data warehousing, ETL, and data lake architectures.

Proficiency in Python and SQL.

Experience with Git, CI/CD tools, and version control practices.

Required qualifications to be successful in this role:

Skills : ABD, ADL, Pyspark

Skills:

• ETL
• SQL.

Role: Data Platform Engineer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Bachelor of Technology / Bachelor of Engineering (B.Tech/B.E.) in Any Specialization

PG: Any Postgraduate