Job Description
We are looking for an experienced
Databricks Engineer / Data Engineer
with strong hands-on expertise in
Databricks, PySpark, SQL, and Snowflake
. The ideal candidate should have experience building and optimizing scalable data pipelines and working with contemporary cloud data platforms.

Exposure to
Databricks Genie
and
Snowflake CoCo
is preferred. Candidates without hands-on experience in these tools can also be considered if they demonstrate solid fundamentals, a positive attitude, and willingness to learn.

Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and SQL.
Develop and optimize ETL/ELT processes for large-scale data processing.
Work extensively with Apache Spark / PySpark for data transformation and processing.
Develop complex and optimized SQL queries, stored procedures, and data transformations.
Work with Snowflake for data warehousing, data loading, transformation, and performance optimization.
Integrate Databricks with Snowflake and other enterprise data sources.




Implement data quality, validation, monitoring, and performance optimization.
Troubleshoot production data pipeline issues and ensure reliable data processing.
Collaborate with data engineers, architects, analysts, and business stakeholders.
Explore and leverage AI-powered capabilities such as Databricks Genie and Snowflake CoCo where applicable.

Mandatory Skills
Databricks
PySpark
SQL
Snowflake
Apache Spark
ETL / ELT
Data Engineering concepts
Strong analytical and problem-solving skills

Positive to Have
Databricks Genie experience or knowledge
Snowflake CoCo experience or knowledge
Experience integrating Databricks and Snowflake
Delta Lake
Databricks Workflows / Jobs
Cloud platforms such as Azure / AWS / GCP
Data pipeline optimization and performance tuning
AI/GenAI-assisted data engineering capabilities

Candidate Profile

We Are Looking For Candidates Who
Have solid practica

📌 Databricks Engineer – Databricks Genie Delhi (India)
🏢 Zorba AI
📍 India