Data Engineering Team Lead

4 weeks ago

Shanghai, Shanghai, China Corning Full time

**Job Title:** Data Engineering Team Lead - Advanced Analytics

**Location:** [Assumed Location: Corning, USA]

**Job Description:** At Corning, we're shaping the world through our innovative technologies, and we need a talented Data Engineering Team Lead to drive our advanced analytics platforms forward. As a key member of our team, you'll be responsible for leading the design and implementation of patterns for productized, portable, modular, instrumented, CI/CD automated, and highly performant data ingestion pipelines.

**Responsibilities:**

  • Design and implement patterns of practice for productized, portable, modular, instrumented, CI/CD automated, and highly performant data ingestion pipelines that leverage structured streaming techniques, processing both batch and streamed data in unstructured, semi-structured, and structured form, using Apache Spark, Delta Lake, Delta Engine, Hive, and other relevant tech stacks.

  • Ensure that data ingestion pipelines built with these patterns validate and profile inbound data reliably, identify anomalous data, and trigger appropriate remediation actions by operations staff when needed.

  • Filter, consolidate, and contextualize ingested data and further aggregate according to data analytics and ML requirements.

  • Use agile development practices and continually improve development methods with the goal of automating the build, integration, deployment, and monitoring of ingestion, enrichment, and ML pipelines.

  • Establish patterns of practice for the above and encourage their adoption by software and data engineering teams across the company.

  • Monitor and optimize the performance of data pipelines to ensure efficient data processing and storage.

**Education, Experience, and Licensing:**

  • An advanced degree in computer science or a bachelor's degree in a related field.

  • Five years of programming proficiency in at least one modern programming language (e.g., Java, C#, JavaScript, etc.) and at least one other high-level programming language such as Python or SQL.

  • Expert-level proficiency with agile software development and continuous integration/continuous deployment methodologies, along with supporting tools such as Git (GitLab), Terraform.

  • Five years of experience in big data engineering roles, developing and maintaining ETL and ELT pipelines for data warehousing, on-premise, and cloud data lake environments.

  • Three years of experience with AWS platform services, including AWS S3 and EC2, Data Migration Services (DMS), RDS, EMR, RedShift, Lambda, DynamoDB, CloudWatch, and CloudTrail.

**Estimated Salary:** $150,000 - $200,000 per year.

**About Corning:**

At Corning, we're shaping the world through our innovative technologies, from displays and touchscreen displays to fiber optics and life-changing medical technologies. Join our team and be part of a company that's constantly pushing the boundaries of what's possible.

**How to Apply:**

If you're a motivated and experienced data engineering professional looking to take your career to the next level, please submit your application, including your resume and a cover letter.

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