Manager - Data Engineering
General Summary:
The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross-functional teams to ensure data availability, integrity, and security, enabling data-driven decision-making across the organization.
With your consent, reference checks will be conducted prior to receiving an offer. Essential Duties and Responsibilities: - Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement. - Design, implement, and optimize data pipelines and ETL processes to support business needs. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. - Ensure data quality, governance, and compliance with industry standards and best practices. - Evaluate and integrate new technologies and tools to enhance data processing capabilities. Qualifications: - Proven experience in data engineering, with a strong understanding of data architecture and ETL processes. - Proficiency in programming languages such as Python, Java, or Scala. - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). - Strong leadership and communication skills, with the ability to manage and motivate a team.
Manager - Data Engineering
General Summary:
The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross-functional teams to ensure data availability, integrity, and security, enabling data-driven decision-making across the organization.
With your consent, reference checks will be conducted prior to receiving an offer. Essential Duties and Responsibilities: - Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement. - Design, implement, and optimize data pipelines and ETL processes to support business needs. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. - Ensure data quality, governance, and compliance with industry standards and best practices. - Evaluate and integrate new technologies and tools to enhance data processing capabilities. Qualifications: - Proven experience in data engineering, with a strong understanding of data architecture and ETL processes. - Proficiency in programming languages such as Python, Java, or Scala. - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). - Strong leadership and communication skills, with the ability to manage and motivate a team.