BI Data Lead

Join BlackStone eIT as a Data Engineering lead a talented team of data professionals in our mission to harness the power of data for impactful decision-making. In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals. You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.

As a Data Engineering Manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.

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