Azure Subcontractor

Birlasoft; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Birlasoft in Hyderabad is seeking an experienced Databricks Developer to design, develop, and maintain scalable data pipelines and analytics solutions using Databricks. You will work with Spark (PySpark), Python, SQL and Delta Lake to support enterprise data integration and insights.

You'll build ETL/ELT processes, implement streaming pipelines, and collaborate with analysts and architects to translate data requirements into robust data models and production-ready workflows.

Qualifications

• Experience with Databricks platform and workflows.
• Strong Spark/PySpark and Python programming skills.
• Proficient in SQL and data modelling concepts.
• Experience with Delta Lake and ETL/ELT development.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Databricks.
• Develop scalable data processing frameworks using Apache Spark (PySpark).
• Build and optimize batch and streaming data pipelines.
• Integrate data from databases, APIs, cloud storage, and enterprise apps.

Skills

Databricks

Spark / PySpark

Python

SQL

ETL / ELT

Delta Lake

Data warehousing

Git / version control

Tools

Databricks

Job description

Job Description:

Area(s) of responsibility

JD, for a Databricks developer`

We are looking for an experienced Databricks Developer to design, develop, and maintain scalable data pipelines and analytics solutions using Databricks. The ideal candidate should have strong expertise in Apache Spark, Python, SQL, and cloud-based data engineering technologies to support enterprise data integration and analytics initiatives.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Databricks.
• Develop scalable data processing frameworks using Apache Spark (PySpark).
• Build and optimize batch and streaming data pipelines.
• Integrate data from multiple sources such as databases, APIs, cloud storage, and enterprise applications.
• Implement data transformation, cleansing, and validation processes.
• Develop Delta Lake tables and optimize data storage using partitioning and Z-Ordering.
• Create reusable notebooks, workflows, and jobs in Databricks.
• Monitor and troubleshoot pipeline failures and performance issues.
• Collaborate with business analysts, architects, and stakeholders to understand data requirements.
• Follow coding standards, version control, and CI/CD best practices.
• Participate in code reviews and technical design discussions.

Technical Skills

Mandatory Skills

• Strong experience with Databricks
• Expertise in Apache Spark / PySpark
• Proficiency in Python
• Strong SQL skills
• Experience with ETL/ELT development
• Experience with Delta Lake
• Knowledge of data warehousing concepts
• Experience with Git and version control

Preferred Skills

• Experience with cloud platforms:
• Microsoft Azure – Azure Databricks, ADLS Gen2, Azure Data Factory
• Amazon Web Services – S3, Glue, EMR
• Google Cloud – BigQuery, Cloud Storage
• Experience with streaming technologies such as Spark Structured Streaming.
• Knowledge of orchestration tools such as Airflow.
• Understanding of data governance and security concepts.

Nice to Have

• Experience with Medallion Architecture (Bronze, Silver, Gold layers).
• Knowledge of Unity Catalog.
• Experience in performance tuning and cost optimization in Databricks.
• Exposure to DevOps and CI/CD pipelines.
• Certification in Databricks or cloud platforms.

Key Competencies

• Data Modeling
• ETL/ELT Development
• Performance Optimization
• Problem Solving
• Team Collaboration
• Agile/Scrum Methodology
• Documentation and Technical Design