BlackStone eIT

Computer Software

BIDataLead

Amman, Amman Governorate, Jordan FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“BI Data Lead at BlackStone eIT. Skills: data engineering, data infrastructure, data management, data pipelines, cloud platforms, big data technologies, team leadership. Manage and lead the data engineering team. Design and implement scalable data solutions”

What You'll Achieve.

ensuring it aligns with the company's strategic goals; implement effective data management solutions; driving best practices in data engineering

Industry & Context.

Computer Software
Problems you'll solve

Excellent analytical and problem-solving abilities

What They're Looking For.

Must Have

Bachelor's or Master's degree in Computer Science, Data Science, or a related field, At least 7 years of experience in data engineering, minimum of 3 years in a managerial role, 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, leadership skills, Excellent analytical and problem-solving abilities, communication skills, Knowledge of data governance and compliance standard

What You'll Do.

Manage and lead the data engineering team

Design and implement scalable data solutions

Oversee the development and maintenance of data pipelines

Implement policies and procedures for data governance

Monitor and optimize data performance

Stay abreast of industry trends and advancements in data engineering methodologies

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams to identify and prioritize data initiatives; Facilitate clear communication of data strategy and project updates to stakeholders

Communication Scope

Excellent communication skills; ability to convey complex data concepts to technical and non-technical stakeholders

Process & Methodology

Excellent project management skills, ability to prioritize and manage multiple projects simultaneously

Full Job 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. ### 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 proble

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