About the role

  • Collaborate & Lead: Work closely with business product owners, data scientists, analysts, and cross-functional stakeholders to understand the business’ data needs and provide technical solutions.
  • Influence business partners to align to the technical solutions and to adhere to technical architecture standards.
  • Provide technical guidance to junior engineers, BI developers, and contractors to create efficient and effective data solutions.
  • Architecting and Innovate: Strong proficiency in Python, Spark, SQL, PySQL, Pandas, CI/CD methodologies is required.
  • Strong data ingestion, data modeling and dimensional modeling skills using medallion lake house architecture.
  • Strong BI skills to build reports & dashboards using Power BI and Tableau etc.
  • Optimize and Scale: Build and maintain data pipelines to integrate data from various source systems.
  • Optimize data pipelines for performance, reliability and cost-effectiveness.
  • Ensure Quality and Governance: Ensure safe custody, transport and storage of data in the data platforms.
  • Collaborate with Data Governance Stewards and Business Stakeholders to enforce business rules, data quality rules and data cataloging activities.
  • Enhance BI Capabilities: Develop and manage business intelligence solutions for the organization to transform data into insights that can drive business value.

Requirements

  • 7+ years of experience if the candidate holds BS degree in Computer Science, Information Systems or relevant streams
  • 5-7 years of experience if the candidate holds MS/PhD degree
  • Experience in architecting data solutions, cloud data engineering, end to end data warehouse or lake house implementations, end to end business intelligence implementations
  • Minimum 7 years of experience with data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects
  • 5+ years’ experience with data solutions implementations in cloud platform technologies like Microsoft Azure, AWS etc.
  • 4+ years with business intelligence using technologies like Power BI, Tableau etc.
  • 4+ years of experience with Azure services like Data Factory, Databricks, and Delta Lake will be an added advantage.
  • Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms
  • Knowledge or experience in Microsoft D365 Dataverse and reporting in Microsoft Fabric technology

Benefits

  • robust health plans
  • market-leading 401(k) program with a company match
  • flexible time off benefits (including half-day summer Fridays depending on location)
  • inclusive fertility/adoption benefits
  • more

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

$128,000 - $252,200 per year

Degree requirement

Bachelor's Degree

Location requirements

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