Years of exp
– 8-12 Yrs

Location
– Hyderabad- Hybrid (Work from office -3 Days and 2 days work from home)

Shift timing
– 12 PM -2 PM to 8 PM -10 PM

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 and PySpark

Proficiency in Python

Robust 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 governan

📌 Azure Databricks Developer (Hyderabad)
🏢 Troop 360
📍 Hyderabad