Cloud Data Engineer
3 weeks ago
Job Title: Cloud Data Engineer
Job Overview
SourceBae is a leading provider of cloud-based services for data science and big data analytics. We are seeking an experienced Cloud Data Engineer to join our team and lead the delivery of successful projects in customer environments.
Key Responsibilities
- Architecture and Design: Establish architecture and target design for data engineering and machine learning projects.
- Requirement Analysis and Planning: Current inventory analysis, review and formalize requirements, project planning and execution plan.
- Advisory Services and Best Practices: Troubleshooting, performance tuning, cost optimization, operational runbooks and mentoring.
- Large Migrations: Assist customers with large migrations to Databricks from Hadoop ecosystems, data warehouses, ETL engines, and cloud-based data platforms.
- Design, Build, and Optimize Data Pipelines: The Databricks implementation will be best in class, with flexibility for future iterations.
- Production Readiness: Assisting with production readiness for customers, including exception handling, production cutover, capture analysis, alert scheduling, and monitoring.
- Machine Learning (ML) – Model Review, Tuning, ML Operations, and Optimization: Build and review ML models, ML best practices, model lifecycle, ML frameworks, and deploying of models in production.
Requirements:
- Hands-on experience with distributed computing framework like DataBricks, Spark ecosystem.
- Willingness to work with product teams to best optimize product features/functions.
- Experience on batch workloads and real-time streaming with high volume data frequency.
- Performance optimization on Spark workloads.
- Environment setup, user management, authentication, and cluster management on Databricks.
- Professional curiosity and the ability to enable yourself in new technologies and tasks.
- Good understanding of SQL and a good grasp of relational and analytical database management theory and practice.
Key Skills:
- Python, SQL, and PySpark.
- Big Data Ecosystem (Hadoop, Hive, Sqoop, HDFS, HBase).
- Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks.
- Azure (ADF, ADB, Logic Apps, Azure SQL Database, Azure Key Vaults, ADLS, Synapse).
- AWS (Lambda, AWS Glue, S3, Redshift).
- Data modeling, ETL methodology.
About Us:
SourceBae is a leading provider of cloud-based services for data science and big data analytics. We are committed to staying ahead in the industry by leveraging cutting-edge technologies to drive innovation and enhance our business processes.
How to Apply:
Please submit your CV to SourceBae's HR department or share it via our website.
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