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
Skills Required
- 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 standards
What We Do
We are a global team who's passionate about transformative enterprise solutions & intelligent design. Our solutions and designs are out to reshape the way people interact with technology. BlackStone eIT supplies innovative solutions to automate and digitally transform human and information intensive processes. We empower breakthrough business results with smarter workflows, augmented business intelligence with AI insights, and through real-time situational awareness which all drive better business outcomes. BlackStone offers a portfolio of next generation solutions, tools, and technologies to be used as a platform to transform traditional organizations into modern smart organizations. Our solutions are designed to dramatically reduce operating costs, increase competitiveness, mitigate risk, boost internal productivity, improve the customer and employee experience, and to make the previously impossible, possible
_0.png)
.png){kind=logo}
