Senior Data Engineer (AWS, Azure, GCP)

The Role

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.

Responsibilities

• Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
• 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.

Qualifications

• Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
• 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)
• Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira)
• Fundamental understanding of big data, open source, and data streaming concepts
• 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

Benefits

• Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
• Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
• Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
• Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
• Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
• Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities.
• 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness