Posted:2 days ago|
Platform:
Work from Office
Full Time
Design, develop, and maintain cloud-based data pipelines and ETL workflows on Databricks
Work with structured and unstructured data in cloud environments (AWS, Azure, or GCP)
Collaborate with Data Architects, Analysts, and Business teams to understand data requirements
Optimize and maintain high-performance, scalable, and reliable data solutions
Implement data quality, validation, and governance processes
Monitor, troubleshoot, and enhance existing data pipelines and processes
Participate in data modeling, schema design, and metadata management
Ensure security, compliance, and best practices in data engineering
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
Strong experience with Databricks, Apache Spark, and PySpark/Scala
Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native data services
Proficient in SQL and database technologies (Relational and NoSQL)
Experience with ETL/ELT design, data warehousing, and big data pipelines
Knowledge of data modeling, data lake architecture, and data governance
Strong problem-solving, analytical, and debugging skills
Excellent communication and collaboration skills
Experience with CI/CD for data pipelines
Familiarity with Airflow, Delta Lake, or similar orchestration and storage technologies
Knowledge of DevOps practices in cloud data engineering
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