Principal Data Engineer

Spruce Infotech
Detroit, MI, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,600 - $149,760
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Cloud Database Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Data Warehousing IBM InfoSphere DataStage DevOps Python (Programming Language)
+7 more
Metadata Enterprise Data Management Snowflake IT Architecture Curam Application Development Git Data Pipelines

Job description

Job ID: z5G7h3l6a1kMvyS65NP3c9k_TBmu0vCv54vGiIFqsQQ=Job Code: JPC - 39076Location: Detroit, MI, 48201, United StatesSalary: USD 70 - 72 (Hourly)Contact: Krishna KhethavathContact Email: Krishna.k@spruceinfotech.comPosition: Principal Data EngineerLocation: Detroit, MI 48201 (Hybrid)Experience: 10+ Years$72/hr on W2Job SummaryWe are looking for a Principal Data Engineer with strong experience in modern cloud data engineering, data architecture, and enterprise data platforms.Key SkillsAWS - S3, Glue, Lambda, EMR, RedshiftSnowflake - Data Warehousing, Data Modeling, Performance OptimizationPython & SQLdbt - Data Transformation, Modeling, TestingIBM DataStage - ETL Development & ModernizationETL/ELT - Enterprise Data Integration & Pipeline DevelopmentData Governance - Data Quality, Metadata, Lineage, Security & ComplianceCI/CD, Git, DevOps, and data pipeline automationResponsibilitiesLead the design and development of scalable enterprise data platforms and pipelines.Develop and

Requirements

optimize ETL/ELT solutions using AWS, Snowflake, Python, dbt, and DataStage.Drive modernization of legacy data integration platforms.Implement data quality, governance, security, and lineage standards.Provide technical leadership, architecture guidance, and mentoring to data engineering teams.Partner with architects, business stakeholders, analytics, and governance teams.Qualifications10+ years of Data Engineering experience with Principal/Senior-level technical leadership.Strong hands-on experience with AWS, Snowflake, Python, dbt, DataStage, and SQL.Deep understanding of data warehousing, data modeling, ETL/ELT, and cloud data architecture.Excellent communication, problem-solving, and technical leadership skills.

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