Lead Snowflake Data Engineer

TechDigital

  • Rosemont, IL
  • 1 day ago

    Highlights

    6 years+ experience on data warehouse experiences – hands on knowledge with the methods to identify, collect, manipulate, transform, normalize, clean, and validate data, star schema, normalization / denormalization, dimensions, aggregations etc, • 6 years+ experience working in reporting and analytics environments – development, data profiling, metric development, CICD, production deployment, troubleshooting, query tuning, Atlassian Bitbucket and Bamboo etc, • 4 years+ on Python – advanced Python expertise. In this role, you will be responsible for leading the team of data engineers (Onsite/Offshore) to build new data pipelines (loading millions of transformed true records into our cloud data warehouse in a timely manner) to support evolving analytical needs for critical business decisions.

    Numbers & Facts

    LocationRosemont, IL
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Position overview:
    We are looking for a hands-on Lead Data Engineer to join our team! In this role, you will be responsible for leading the team of data engineers (Onsite/Offshore) to build new data pipelines (loading millions of transformed true records into our cloud data warehouse in a timely manner) to support evolving analytical needs for critical business decisions. Manage existing data pipelines keeping data relevant and true, ready for analytical consumption.

    Key responsibilities:
    • Lead data warehouse development activities for a team,
    • Lead more than one project in parallel.
    • Assign data warehouse development tasks to team of 1-6 developers (Onsite/Offshore).
    • Be a subject-matter expert (SME) in Data Warehouse domain and relevant business function.
    • Work with minimal supervision and provide status updates and escalation to leadership as appropriate.
    • Provides application support as part of an on-call rotation to work on resolving outages and user questions.
    • Review project objectives and determine best technology to apply.
    • Design and build large scale datasets for a wide range of consumer needs.
    • Build, test and implement highly efficient data pipelines using a variety of technologies.
    • Develop best practice standards for solution design and data structures.
    • Create and maintain project specific documentation like architecture diagrams, flow charts
    • Analyze new data sources to understand quality, availability, and content.
    • Write technical design documentation.
    • Conducts peer code reviews.
    • Create and executes unit tests.
    • Supports QA team during testing.
    • Mentor less experienced members of the development team.

    Technical skills:
    • 6 years+ experience on Snowflake SQL – advanced SQL expertise
    • 6 years+ experience on data warehouse experiences – hands on knowledge with the methods to identify, collect, manipulate, transform, normalize, clean, and validate data, star schema, normalization / denormalization, dimensions, aggregations etc,
    • 6 years+ experience working in reporting and analytics environments – development, data profiling, metric development, CICD, production deployment, troubleshooting, query tuning, Atlassian Bitbucket and Bamboo etc,
    • 4 years+ on Python – advanced Python expertise
    • 4 years+ on any cloud platform – AWS preferred
    o Hands on experience on AWS on Lambda, S3, SNS / SQS, EC2 is a bare minimum,
    • 4 years+ on any ETL / ELT tool – Informatica, Pentaho, Fivetran, DBT etc.
    • 4 years+ with developing functional metrics in any specific business vertical (finance, retail, telecom etc),

    Must have soft skills:
    Enterprise Experience – Understands and follows enterprise guidelines for CICD, security, change management, RCA, on-call rotation etc,

    Nice to have:
    Technical certifications from AWS, Microsoft, Azure, GCP or any other recognized Software vendor,
    4 years+ on any ETL / ELT tool – Informatica, Pentaho, Fivetran, DBT etc.
    4 years+ with developing functional metrics in any specific business vertical (finance, retail, telecom etc),
    4 years+ with team lead experience,
    3 years+ in a large-scale support organization supporting thousands of users,

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