✨ AI Summary
BlackStone eIT is seeking a Data Engineering Lead to manage and lead a team of data professionals. The role involves overseeing the design, development, and enhancement of data infrastructure, ensuring alignment with strategic goals. Responsibilities include managing the data engineering team, designing scalable data solutions, collaborating with cross-functional teams, overseeing data pipelines, implementing data governance policies, and monitoring data performance. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, with at least 7 years of data engineering experience, including 3 years in a managerial role. Proficiency in ETL frameworks, SQL, NoSQL, cloud platforms (AWS, Azure, GCP), and big data technologies (Hadoop, Spark) is required, along with strong project management, leadership, analytical, and communication skills. Knowledge of data governance and compliance standards is also necessary.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, or a related fieldAt least 7 years of experience in data engineering, with a minimum of 3 years in a managerial roleStrong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databasesExperience 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 simultaneouslyStrong leadership skills with demonstrated experience in building and mentoring high-performing teamsExcellent analytical and problem-solving abilitiesStrong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholdersKnowledge of data governance and compliance standard
Description
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.ResponsibilitiesManage and lead the data engineering team, providing guidance, mentorship, and support in their professional growthDesign and implement scalable data solutions to meet business needsCollaborate with cross-functional teams to identify and prioritize data initiativesOversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibilityImplement policies and procedures for data governance, security, and complianceMonitor and optimize data performance, reliability, and efficiencyStay abreast of industry trends and advancements in data engineering methodologiesFacilitate clear communication of data strategy and project updates to stakeholders