Senior Data Engineering Manager
14 hours ago
Data Engineering Leadership Opportunity
HexaCorp is seeking an experienced senior data engineering manager to lead our data engineering team and drive the development of high-quality data solutions. As a key member of our team, you will play a pivotal role in designing and implementing robust data solutions for our clients.
Responsibilities
- Design and implement scalable and efficient data architectures, including data warehouses, data lakes, and data marts.
- Define data models, schemas, and metadata standards.
- Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications.
- Develop complex data integration pipelines using ETL/ELT tools (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
- Extract, transform, and load data from various sources (e.g., databases, APIs, files) into target systems.
- Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
- Leverage cloud platforms (Azure, AWS, GCP) to build and deploy data solutions.
- Utilize cloud-native data services (e.g., Azure Data Factory, AWS Glue, Google Data Fusion) for efficient data processing.
- Lead and mentor a team of data engineers.
- Assign tasks, provide guidance, and review deliverables.
- Foster a collaborative and innovative team culture.
- Interact with clients to understand their business needs and translate them into technical solutions.
- Presents technical concepts to both technical and non-technical audiences.
- Stay up-to-date with the latest trends and technologies in data engineering and cloud computing.
- Continuously improve skills and knowledge through training and certifications.
Requirements
- 9+ years of experience in data warehousing, data lakes, data integration, and ETL/ELT processes.
- Strong proficiency in at least one leading ETL/ELT tool (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
- Experience with cloud platforms (Azure, AWS, GCP) and cloud-native data services.
- Solid understanding of data modeling, data warehousing concepts, and data quality principles.
- Proficiency in SQL and scripting languages (Python, Scala, etc.).
- Experience with data visualization tools (Power BI, Tableau, Looker).
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
The estimated salary for this position is $190,000 - $240,000 per year, depending on location and experience.
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