Tezo - Databricks Developer - ETL/SQL

Description :

- Position : Databricks Developer

- Location : Hyderabad

- Experience : 5 to 8 Years

- Notice Period : Immediate Joiners Preferred

About the Role :

We are looking for an experienced Databricks Developer with strong expertise in building scalable data pipelines using Apache Spark, Delta Lake, and cloud-native data platforms. The ideal candidate must have hands-on experience in Databricks development across AWS/Azure/GCP environments.

Key Responsibilities :

- Develop scalable and high-performance data pipelines using Databricks (PySpark/Scala).

- Implement Delta Lake, optimized storage layers, and advanced Lakehouse architecture.

- Build batch and streaming ETL/ELT jobs for ingestion, transformation, and enrichment.

- Create, optimize, and maintain Databricks notebooks, clusters, jobs, and workflows.

- Work with cloud services such as AWS (Glue, S3), Azure (ADF, Synapse), GCP (BigQuery) depending on project need.

- Perform data modelling, schema design, and integration with BI/reporting systems.

- Ensure data quality, reliability, and performance through monitoring and optimization.

- Collaborate with data engineers, architects, and business teams for end-to-end data delivery.

- Apply best practices for security, governance, cluster optimization, and cost management within Databricks.

Required Technical Skills :

- Hands-on experience with Databricks on AWS / Azure / GCP.

- Strong expertise in Apache Spark (PySpark / Scala).

- Experience working with Delta Lake, Delta tables, and Lakehouse architecture.

- Proficiency in SQL and optimization techniques.

- Good understanding of ETL/ELT frameworks and pipeline orchestration.

- Experience with one or more cloud services :

1. AWS : Glue, S3, EMR, Lambda

2. Azure : ADF, Synapse, ADLS

3. GCP : Dataflow, Dataproc, BigQuery

- Knowledge of version control (Git), CI/CD pipelines.