Job Description:
We are looking for a Senior Data Engineer with 4+ years of experience to build scalable and high-performance data platforms using Databricks and modern cloud technologies.

Key Responsibilities:
Design, develop, and maintain scalable batch and streaming data pipelines using Databricks and Apache Spark.
Build ETL/ELT pipelines using PySpark, Python, and SQL.
Develop data ingestion and transformation frameworks from databases, APIs, files, and event streams.
Work extensively with Delta Lake, Databricks Workflows, Unity Catalog, and Databricks SQL.
Optimize Spark jobs, queries, partitioning, joins, and data processing for performance and cost.
Implement incremental processing, CDC, data quality, and governance practices.
Build production-ready pipelines with monitoring, logging, alerting, and error handling.
Work with cloud platforms such as Azure, AWS, or GCP.
Participate in CI/CD, production support, troubleshooting, and root-cause analysis.

Required Skills:
4+ years of professional experience in Data Engineering.
Strong hands-on experience with Databricks.
Solid experience with Apache Spark / PySpark.




Strong programming skills in Python and SQL.
Hands-on experience with Delta Lake.
Experience in ETL/ELT, data pipelines, CDC, batch/incremental processing, and data optimization.
Experience with at least one cloud platform – Azure / AWS / GCP.
Experience with Git and CI/CD.
Robust analytical and troubleshooting skills.

Good to Have:
Unity Catalog / Databricks Workflows
Delta Live Tables / Lakeflow
Kafka / Streaming
Azure Data Factory / AWS Glue / GCP Dataflow
Terraform / Docker / Kubernetes
Data Governance
ML/AI or GenAI data pipelines

Pay: ₹800,000.00 - ₹1,200,000.00 per year

Perks:
Paid time off
Provident Fund

Application Question(s):
How many years of hands-on experience do you have with Databricks?
Are you willing and available to attend a direct Face-to-Face interview in Bengaluru?
What is your current CTC?
What is your expected CTC?

Experience:
Data Engineering: 5 years (Preferred)

Work Location: In person

📌 Senior Data Engineer – Databricks Lalbagh (India)
🏢 Jobbycart Technologies
📍 India