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Databricks Engineer
2 months ago
We are seeking a highly skilled Databricks Architect to join our team at E-Solutions. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining data pipelines using Databricks and Spark.
Key Responsibilities:- Design and develop data pipelines using Databricks and Spark
- Optimize data pipelines for performance, scalability, and reliability
- Ensure data quality and integrity throughout the data lifecycle
- Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs
- Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations
- Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management
- Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community
- Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience
- 5+ years of experience in data engineering with Databricks and Spark
- Proficient in SQL and Python and Pyspark
- Experience with Azure Databricks Medallion Architecture with DLT, Iceberg
- Financial/Corporate Banking context would be a plus
- Experience with data integration and ETL tools, such as Azure Data Factory
- Experience with Azure cloud platform and services
- Experience with data warehouse and data lake concepts and architectures
- Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills