
Leading Data Pipelines Specialist
3 days ago
This is a challenging opportunity for a skilled Data Engineer to join our team at dxf.
- Design, develop, and maintain scalable data pipelines for batch and streaming workflows.
- Implement robust ETL/ELT processes to extract data from various sources and load into data warehouses.
- Build and optimize database schemas following best practices in normalization and indexing.
- Create and maintain documentation for data flows, pipelines, and processes.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Monitor and troubleshoot data pipelines to ensure optimal performance.
- Implement data quality checks and validation processes.
- Build and maintain CI/CD workflows for data engineering projects.
- Stay current with emerging technologies and recommend improvements to existing systems.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum 4+ years of experience in data engineering roles.
- Strong proficiency in Python programming and SQL query writing.
- Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
- Proven track record in building efficient and scalable data pipelines.
- Practical knowledge of batch and streaming data processing approaches.
- Experience implementing data validation, quality checks, and error handling mechanisms.
- Working experience with cloud platforms, particularly AWS (S3, EMR, Glue, Lambda, Redshift) and/or Azure (Data Factory, Databricks, HDInsight).
- Understanding of different data architectures including data lakes, data warehouses, and data mesh.
- Demonstrated ability to debug complex data flows and optimize underperforming pipelines.
- Strong documentation skills and ability to communicate technical concepts effectively.
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