- 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.
- 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.
- Bachelors 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
- 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.
Required Experience:
Manager
- 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 de...
- 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.
- 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.
- Bachelors 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
- 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.
Required Experience:
Manager
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