30 Sep
|
Vericence
|
India
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