About the role

  • Data Engineering Lead at BlackStone eIT managing a team and driving data solutions aligned with strategic goals. Collaborating with departments to ensure effective data management.

Responsibilities

  • Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth
  • Design and implement scalable data solutions to meet business needs
  • Collaborate with cross-functional teams to identify and prioritize data initiatives
  • Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility
  • Implement policies and procedures for data governance, security, and compliance
  • Monitor and optimize data performance, reliability, and efficiency
  • Stay abreast of industry trends and advancements in data engineering methodologies
  • Facilitate clear communication of data strategy and project updates to stakeholders

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role
  • Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases
  • Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)
  • Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously
  • Strong leadership skills with demonstrated experience in building and mentoring high-performing teams
  • Excellent analytical and problem-solving abilities
  • Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders
  • Knowledge of data governance and compliance standard

Job title

Lead Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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