The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.
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We are looking for a skilled Senior Data Engineer. This role, you will be responsible for building scalable data pipelines, working with large datasets, and optimizing data workflows in a cloud-based environment. You will collaborate closely with data and engineering teams to ensure efficient and reliable data processing.
Key Responsibilities
- Design, build, and maintain robust data pipelines (ETL/ELT)
- Work with Databricks for large-scale data processing using Spark and Delta Lake
- Optimize data workflows, performance, and data storage solutions
- Collaborate with cross-functional teams including data analysts, engineers, and stakeholders
- Ensure data quality, reliability, and scalability across systems
- Contribute to continuous improvement of data architecture and processes
Job requirements
- Strong experience with Databricks (Spark / Delta Lake)
- Proficiency in Python for data processing
- Strong knowledge of SQL
- Hands-on experience with ETL/ELT pipeline development
- Experience with at least one cloud platform (AWS, Azure, or GCP)
- Familiarity with Git and basic CI/CD practices
Nice to Have
- Experience with dbt
- Knowledge of streaming technologies (e.g., Kafka or similar)
- Experience with Terraform or Infrastructure as Code (IaC)
Top Skills
AWS
Azure
Ci/Cd
Databricks
Dbt
Delta Lake
GCP
Git
Kafka
Python
Spark
SQL
Terraform
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