Lead Data Engineer

7 days ago

Midland, Texas, United States Dow Full time
About the Role

We are seeking a highly skilled Lead Data Engineer to join our team at Dow. As a key member of our Integrated Supply Chain organization, you will be responsible for defining and leading the implementation of enterprise-grade data solutions.

Key Responsibilities
  • Define and lead the implementation of Integrated Supply Chain (ISC) enterprise-grade data solutions.
  • Set development standards and practices for data ingestion, transformation, and consumption.
  • Act as the technical development leader for data engineering across Integrated Supply Chain, working closely with the Enterprise Data & Analytics organization.
  • Lead the design, development, and maintenance of scalable data pipelines and systems.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Optimize and tune data processing workflows for performance and cost-efficiency.
  • Ensure data quality, integrity, and security across data platforms.
  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
  • Collaborate across the IT organization to ensure technical alignment on data engineering needs.
  • Assist in the design and development of infrastructure systems, including data warehouses and data lakes.
Requirements
  • A minimum of a bachelor's degree or relevant military experience at or above a U.S. E6 ranking or Canadian Petty Officer 2nd Class or Sergeant with 5 years of experience or in lieu of an advanced degree, 10 years of relevant experience.
  • A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.
Preferred Skills
  • Proficiency in Python, SQL, and Scala. Experience with Java or C# is a plus.
  • Experience with Azure Data Factory, AWS Glue, or equivalent, Azure Synapse Analytics, AWS Redshift, or equivalent, SQL Database, Azure Blob Storage or equivalent.
  • Familiarity with Data warehousing and ETL processes, Data modeling and schema design, Data governance and security, Real-time data processing and streaming, Performance tuning and optimization.
  • Experience with Databricks Technologies: Unity Catalog, Workflows, Delta Live Tables, Asset Bundles.
  • Familiarity with DevOps practices and CI/CD pipelines - Azure DevOps is a plus.
About Dow

Dow is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility, and consumer applications. Our global breadth, asset integration, and scale, focused innovation, leading business positions, and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future.

We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries.

As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career.

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