Manager, Data Engineering

The Manager, Data Engineering People Analytics is responsible for leading a team of data engineers, architects, and analysts to support strategic people decision making. The role is responsible for the development and maintenance of data systems and infrastructure to enable efficient data processing, storage, and analysis. Responsibilities may include designing and building scalable data pipelines, integrating data from various sources, optimizing data workflows, implementing data security measures, and collaborating with cross-functional teams to meet business requirements. This role demands understanding and management of metadata to complement data provisioning in compliance with global standards. The position necessitates maintaining strong working relationships within Data Management and cross-collaborating with IT for database related needs. In this career path, responsibility lies in achieving goals through guiding and managing others.

Key Responsibilities:

• Leads a team of data engineers and Business intelligence analysts to support people analytics data infrastructure insights
• Responsible for the coaching and development of team
• Responsible for data architecture design, data governance processes, and automation to maintain high performing/high quality systems
• Responsible for the development and maintenance of data systems and infrastructure to enable efficient data processing, storage, and analysis. Responsibilities may include designing and building scalable data pipelines, integrating data from various sources, optimizing data workflows, implementing data security measures, and collaborating with cross-functional teams to meet business requirements.
• Responsible for designing developing reports, dashboards, and executive presentations to support strategic decision, including use of sensitive HR data.

Key Requirements/Minimum Qualifications:

Bachelor s or Master s in Computer Science, Data Engineering, Information Systems, or a related field.

7 to 9 Years of experience.

Data Modeling Architecture for Efficiency
Project Management
Data Engineering (ETL)
Metadata management
Leadership and mentoring skills
Executive Powerpoint presentations
Data Analytics
BI Dashboards (Tableau, Quicksight, PowerBI, etc.)
Data Integrity
Attention to detail, Insights to Action, Dashboards/Visualization
High proficiency in SQL
Preferred: Experience in Alteryx, AWS Stack (Athena, Quicksight, S3)

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

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