Cloud Data Engineering Manager

Job description

- Lead Data Warehouse/Business Intelligence development team in building Analytics solutions

- Lead the design for database and data pipeline/ETL using emerging technologies and tools

- Lead the reporting and dashboarding solutions using innovative packaged and custom-built tools

- Drive the team to develop operationally efficient analytic solutions

- Manage resources/budget and partner with global functional and business teams. Manage multiple teams and projects

- Define standards methodologies for Data Warehousing environment

- Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems

- Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency

- Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams

- Lead and mentor people and plan their career growth and focus on creating a cohesive team environment

- Thrives in a dynamic environment, maintaining composure and a positive attitude.

Minimum Qualifications

• Experience in leading, hiring, developing and building data engineering team and providing them technical direction.
• Experience managing Annual performance reviews, setting SMART goals for team members and invested lead in team member career development.
• Experience working with cloud technologies and big data stack be it Amazon AWS, Snowflake, Microsoft Azure or Google GCP.
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data.
• Bachelor s Degree or Equivalent with 10+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management

Preferred Qualifications

• Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience working with Business Stakeholders to understand requirements and ability to translate them into scalable and sustainable solutions.
• Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
• Experience with data science and machine learning tools and technologies is a plus
• Demonstrate good understanding of development processes and agile methodologies
• Strong analytical and communication skills.
• Should be self-driven, highly motivated and ability to learn quickly and lead by example.