Data Engineer (Databricks Specialist)

Job highlights

• 7+ years experience with Databricks, Apache Spark, PySpark, Azure/AWS/GCP, strong SQL and dimensional data modeling
• Develop and optimize big data pipelines, build scalable cloud data solutions, implement dimensional models, collaborate in agile teams, troubleshoot data engineering issues

Experienced professionals are invited to apply!

Job Summary

Data Engineer (Databricks Specialist)

Experience: 7+ Years

(Immediate Joiners Preferred)

Must-Have Skills

• Databricks, Apache Spark, PySpark
• Azure (Preferred) / AWS / GCP
• Strong SQL & Dimensional Data Modeling
• ETL/ELT Tools (ADF, Informatica, Talend)
• Data Warehousing (Azure Synapse / Snowflake / BigQuery)

Good-to-Have

• Event Hub / IoT Hub / Streaming Analytics
• Power BI, Azure DevOps, CI/CD
• MLlib & Predictive Analytics

Key Responsibilities

• Develop and optimize big data pipelines using Databricks & Spark.
• Build scalable data solutions in cloud environments.
• Implement dimensional models and optimized schemas.
• Collaborate with cross-functional teams in agile setups.
• Troubleshoot and resolve complex data engineering challenges.

Important Note: This role is strictly for immediate joiners only. Candidates with 30 / 60 / 90 days notice period will not be considered.

Candidate without relevant experience will not be considered.