Full-Time Lead Data Engineer

As a Lead Data Engineer, you'll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation. You'll work closely with the client to understand their business processes and analytics needs to design and build data pipelines and cloud data solutions.

Key Responsibilities:

• Design and develop cloud ELT and data pipelines
• Develop CI/CD pipelines and other DataOps fundamentals
• Communicate with business and technology teams to understand needs and pain points
• Meet client needs with technology, explaining technical benefits and deficits to non-technical audiences
• Learn new data tools and best practices
• Design client-facing, core design documents (data flows, source to target, requirements, data lineage, and data dictionary)

Required Skills:

• 8+ years of cloud data engineering experience
• Experience designing and developing cloud ELT and data pipelines with Python, SQL, Airflow, Talend, Matillion, DBT, Fivetran
• Experience with AWS Glue, S3, Athena
• Experience working with the business to understand appropriate data models (relational, tabular, transactional)
• Deep experience designing performant ELT jobs, exploratory data analysis, data cleansing, and aggregation
• Experience with scaling & automation to data preparation techniques
• Experience developing and operating CI/CD pipelines and other DataOps fundamentals
• Understanding of data modeling (Kimball, Inman, Data Vault)
• Strong consulting skills (analytical, written and verbal communication, presentation)
• Ability to identify business and technical impacts of user requirements and incorporate them into the project schedule

Preferred Skills:

• Undergraduate degree in technology or business
• Microsoft, AWS, or Snowflake Certifications (Azure Fundamentals, Azure Data Engineer Associate, MCSA, Power Platform, AWS Data Analytics Specialty, AWS ML, SnowPro Core)
• Big Data Technologies (Hadoop, PySpark, MongoDB)
• Experience with Power BI
• Agile, Scrum, SAFe certifications and experience

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