Senior Data Engineer

2 days ago


Wilmington, Delaware, United States Hayward Holdings, Inc. Full time
Job Description

Hayward Holdings, Inc. is seeking a highly skilled Data Engineer to join our Global Data Analytics Center of Excellence. As a key member of our team, you will play a pivotal role in shaping the strategy and direction of our Analytics team.

The ideal candidate will have a strong background in data engineering, with experience in designing and implementing scalable data pipelines, data warehousing, and ensuring data quality and integrity. Proficiency in cloud environments such as AWS or Azure, with hands-on experience in building and deploying scalable data solutions, is a must.

You will work closely with stakeholders from finance, IT, marketing, supply chain, commercial, and operations to understand their data needs and deliver solutions. Facilitating cross-functional collaborations to drive data-driven decision-making is essential.

We are looking for a highly motivated, self-driven, and creative individual with a passion for continuous learning and staying updated with the latest advancements in data engineering and technology.

Responsibilities:

  • Design, build, and maintain scalable and robust data pipelines to support data science projects and business analytics needs.
  • Ensure data is readily available and accessible for various stakeholders across the enterprise.
  • Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
  • Implement data governance and best practices to maintain the integrity and security of data.
  • Work closely with stakeholders to understand their data needs and deliver solutions.

Qualifications:

  • Proven experience (5+ years) in data engineering, including building and managing data pipelines, data warehousing, and ensuring data quality and integrity.
  • Expertise in cloud environments such as AWS or Azure, with hands-on experience in building and deploying scalable data solutions.
  • Proficiency in SQL and experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
  • Experience with ETL tools and processes, including designing, implementing, and maintaining efficient and scalable ETL workflows using tools such as Apache Airflow, Talend, or Informatica.
  • Experience working with large amounts of data and extracting insights from complex datasets; demonstrated track record of driving impact through data-driven decision-making.

Education / Experience:

  • 4-year college degree in Computer Science, Statistics, Mathematics, Statistics, Economics, Engineering, or another relevant field.
  • MBA or MS preferred.

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