CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future.
Requirements
- 5+ years of experience delivering data engineering solutions on cloud platform
- 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP)
- Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion)
- Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
- 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery)
- Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs)
- 5+ years of experience with at least one programming language (Python, Java, R, C / C / C++, Shell)
Responsibilities
- Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
- Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
- Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
- Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
- Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
- Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
- Fundamental understanding of big data, open source, and data streaming concepts
Other
- Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
- Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs
- Experience providing technical leadership and mentoring other engineers in data engineering space
- Cloud certification on any platform a plus
