Reynolds Consumer Products - Lake Forest, IL

posted about 2 months ago

Full-time - Mid Level
Lake Forest, IL
Primary Metal Manufacturing

About the position

Join Reynolds Consumer Products and drive your career across a world of opportunities! We provide amazing job opportunities for growth with competitive salaries and benefits in an exciting, dynamic, fast-paced, and fun workplace environment. If you are looking to build a strong career, we have an opportunity for you! We are searching for a Senior Data Engineer to join our team located at our headquarters in Lake Forest, IL. The ideal candidate for the Senior Data Engineer position will have a strong background in AWS and PostgreSQL database management, with a passion for building and maintaining data pipelines. This role involves working closely with different stakeholders to ensure that our data infrastructure is robust, efficient, and scalable. We embrace and accept individual experiences and backgrounds to achieve a diverse and inclusive workplace. In this role, you will have the opportunity to design, build, and launch new data extraction, transformation, and loading processes. You will leverage AWS services such as S3, Redshift, Glue, and Lambda to create and optimize data workflows, ensuring data availability and reliability. Additionally, you will manage and optimize PostgreSQL databases, including schema design, indexing, and query performance tuning. Maintaining comprehensive documentation of data processes, architectures, and workflows will also be a key responsibility. You will troubleshoot and resolve data-related issues, ensuring minimal disruption to data services, and support existing processes running in production while implementing optimized solutions with limited guidance.

Responsibilities

  • Design, build, and launch new data extraction, transformation, and loading processes.
  • Leverage AWS services (e.g., S3, Redshift, Glue, Lambda) to create and optimize data workflows, ensuring data availability and reliability.
  • Manage and optimize PostgreSQL databases, including schema design, indexing, and query performance tuning.
  • Maintain comprehensive documentation of data processes, architectures, and workflows.
  • Diagnose and resolve data-related issues, ensuring minimal disruption to data services.
  • Support existing processes running in production and implement optimized solutions with limited guidance.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Data Engineering, or similar areas of study or a directly related field with 2-5 years of work experience.
  • Exceptional ability to assess and communicate requirements to IT stakeholders.
  • Proven experience in design, implementation, and operations of data model, AWS infrastructure, schema design, and database management.
  • Familiar with industry best practices around data governance and cyber security.
  • Familiarity with Business Intelligence tools such as Power BI.
  • Understanding of data modeling techniques and best practices.
  • Proficiency in AWS services like S3, Redshift, Glue, Lambda, and IAM.
  • Strong experience with PostgreSQL, including query optimization and database administration.
  • Proficiency in Python and SQL for data manipulation and automation.
  • Experience with ETL tools and frameworks for data integration and transformation.
  • Knowledge of data warehousing concepts and practices.
  • Familiarity with version control systems such as Git/GitLab.
  • Experience with SAP ECC, SAP HANA, SAP BW.

Nice-to-haves

  • AWS Certified Data Analytics - Specialty certification.
  • AWS Certified Solutions Architect - Associate certification.
  • Certified PostgreSQL DBA certification.
  • Basic understanding of machine learning concepts and their application in data engineering.
  • Industry knowledge in CPG or Manufacturing.
  • Cross functional knowledge in Supply Chain, Finance, HR, Sales & Category Management.
  • Experience with big data technologies like Apache Spark, Hadoop, or similar.
  • Familiarity with SAP ECC to S4 migration.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service