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)
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