
Highly Skilled Data Engineer Leader
1 week ago
We are seeking a seasoned data engineer to lead the design, development and optimization of large-scale data pipeline solutions on Databricks and related cloud platforms.
You will collaborate closely with data scientists, analysts and engineers to ensure our data infrastructure supports advanced analytics and business insights across industries.
Responsibilities
- Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver effective pipeline solutions.
- Contribute to Data Architecture and Solution Design, helping to build proofs of concepts.
- Design, develop and maintain robust ETL/ELT pipelines on Databricks, using AWS, Azure and GCP tools and services to ingest, process and transform large datasets.
- Implement data validation, cleansing and governance procedures to guarantee data quality, integrity and security.
- Continuously improve the scalability, efficiency and cost-effectiveness of data pipelines and identify opportunities to enhance performance, reliability and cost-efficiency across data systems.
- Maintain clear documentation of data pipelines, data models and processes.
Qualifications
- Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and SQL for data querying and transformation.
- Solid understanding of data warehousing concepts and dimensional data modeling.
- Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra).
- Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
About the Role
This is an opportunity to work with a talented team of professionals who share your passion for data-driven innovation and excellence.
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