Key Responsibilities:

Lead the design and development of our data platform, including data ingestion, storage, processing, and access.
Implement data governance and security policies to ensure data integrity and compliance.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data and analytics needs and develop solutions to meet those needs.
Define and document data architecture and data flow processes.
Identify and evaluate new technologies and tools to improve the efficiency and effectiveness of our data platform.
Mentor and guide junior data engineers, providing technical leadership and promoting best practices.
Monitor and troubleshoot data platform performance issues, ensuring timely resolution.
Stay up-to-date with industry trends and advancements in data engineering and apply them to improve our data platform.

Requirements:

Bachelor��s or Master��s degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years of experience as a Data Engineer, with at least 2 years in a lead role.
Strong experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
Expertise in data modeling, data warehousing, and ETL processes.
Proficient in SQL and scripting languages such as Python, Java, or Scala.
Experience with data visualization tools, such as Tableau, Power BI, or Qlik.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

Apply now and take your career to the next level as our Lead Data Platform Engineer.

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