Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Data Engineering Lead at BlackStone eIT managing a team and driving data solutions aligned with strategic goals. Collaborating with departments to ensure effective data management.
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
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