Job Overview :

We are looking for an experienced Data Engineer with 7+ years of experience in data engineering, with strong hands-on expertise in ETL/ELT, Databricks, GCP BigQuery, Python, and SQL. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions.

Key Responsibilities :

- Design, develop, and maintain scalable data engineering solutions.

- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.

- Work extensively with Databricks for data engineering and data processing requirements.

- Develop and optimize data solutions using GCP BigQuery.

- Develop data engineering solutions using Python.

- Write and optimize SQL queries for data extraction, transformation, analysis, and processing.

- Perform data transformation, integration, and processing across various data sources.

- Build and maintain reliable, scalable, and optimized data pipelines.

- Troubleshoot and resolve data pipeline and data processing issues.

- Collaborate with technical and business teams to understand data requirements and deliver effective data solutions.

Tech Stack :

- ETL/ELT, Databricks, GCP BigQuery, Python, SQL.

Required Skills :

- 7+ years of experience in Data Engineering.

- Strong hands-on experience with ETL/ELT processes and data pipelines.

- Strong hands-on experience with Databricks.

- Strong hands-on experience with GCP BigQuery.

- Strong programming experience with Python.

- Strong hands-on experience with SQL, including complex queries and data transformations.

- Strong understanding of data ingestion, transformation, integration, and processing.

- Experience developing and maintaining scalable data pipelines.

- Strong troubleshooting and problem-solving skills.

Preferred Profile :

- Strong hands-on experience in enterprise data engineering environments.

- Ability to work independently as well as collaboratively with cross-functional teams.

- Strong analytical and problem-solving capabilities.