Job Summary

We are looking for a

Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data solutions. The ideal candidate should have robust experience with

Databricks, Snowflake, SQL, Python, ETL, and cloud platforms

.

Key Responsibilities

- Design and develop scalable

ETL/ELT data pipelines

.

- Build and optimize data processing solutions using

Databricks and PySpark

.

- Develop and manage data solutions using

Snowflake

.

- Develop complex data transformations using

Python and SQL

.

- Build and maintain data warehouses, data lakes, and lakehouse solutions

.

- Perform data integration, transformation, cleansing, and validation.

- Optimize queries, pipelines, and data processing performance.

- Work with cloud platforms such as

AWS, Azure, or GCP

.

- Ensure data quality, security, reliability, and governance.

- Collaborate with Data Architects, Analysts, Developers, and business teams.

- Troubleshoot data pipeline and production issues.





- Mentor junior engineers and contribute to technical design decisions.

Required Skills

- 7+ years of experience in Data Engineering.

- Strong hands-on experience with

Databricks

.

- Strong experience with

Snowflake

.

- Advanced

SQL and Python skills.

- Experience with

PySpark / Apache Spark

.

- Strong experience with

ETL/ELT and data pipeline development

.

- Strong understanding of

Data Warehousing and Data Modeling

.

- Experience with

AWS, Azure, or GCP

.

- Experience with

Git and CI/CD

.

- Good understanding of data integration, data quality, and performance optimization.

Preferred Skills

- Apache Kafka / Streaming

- Apache Airflow

- Terraform

- AWS Glue / Azure Data Factory

- Delta Lake

- Cloud-native data engineering

- Data governance and security

📌 Senior Data Engineer (India)
🏢 Vericence
📍 India