Senior Manager, Data Engineering
Hyderabad, Telangana, India
Envoy Global
Envoy Global's simple approach to sponsoring and managing work visas results in the easiest application experience for you and your employees.Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.
We are seeking a highly skilled Senior Manager, Data Engineering within Envoy Global's tech team to join us on a full time, permanent basis. This role is responsible for leading a team of engineers in planning and delivering data platforms for analytics and reporting. They will be a part of the Data & Analytics sub-department. Our Data Engineering Manager will work closely with BI & Analytics leaders, Architecture team, DataOps team and Engineering teams to deliver data assets for Data Security, Data Integration, DW and Analytics.
As our Senior Data Engineering Manager, you will be required to:
- Responsible for planning and developing technical roadmap for data and analytics platforms
- Lead all aspects of the design, implementation, and maintenance of data engineering pipelines in our Azure environment including integration with a variety of data sources
- Responsible for building robust data models that support dimensional model data warehouse operations
- Collaborate with Data Analytics and DataOps teams and other partners in Architecture, Engineering and Devops teams to delivery high quality data platforms that enable analytics solutions for the business
- Ensure data engineering standards are in line with established principles of data governance, data quality and data security
- Monitor and optimizes the performance of data pipelines, ensuring they meet SLAs in terms of data availability and quality
- Hire, manage and mentor a team of Data Engineers and Data Quality Engineers
- Communicate clearly and effectively with stakeholders
- Participate in an Agile/Scrum methodology to deliver high-quality releases every few weeks
To apply for this role, you should possess the following skills, experience and qualifications:
- Minimum 5 years of technical experience in one or more of the cloud-based data warehouse/data lake platforms such as AWS, Snowflake, Azure Synapse
- Minimum 8 years of ETL experience using SSIS, ADF or another equivalent tool
- Knowledgeable in Data Modeling and Data warehouse concepts
- Demonstrated ability to write SQL/TSQL queries to retrieve/modify data
- Knowledge and know-how to troubleshoot potential issues, and experience with best practices around database operations
- Ability to work in an Agile environment
- Ability to learn new tools and technologies and adapt to an evolving tech-scape
- Experience with one or more of visualization tools such as Power BI, Tableau, SpotFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical tools is a plus
- Bachelor's in Computer Science or Information Technology
- 10+ years of experience as a Data Engineer with 3+ years of experience in a managerial role
Should you have a deep passion for technology and a desire to thrive in a rapidly evolving and creative environment, we would be delighted to receive your application. Please provide your updated resume, highlighting your relevant experience and the reasons you believe you would be a valuable member of our team. We look forward to reviewing your submission.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Computer Science Data Analytics Data governance DataOps Data pipelines Data quality Data warehouse DevOps Engineering ETL Pipelines Power BI QlikView Scrum Security Snowflake Spotfire SQL SSIS Tableau T-SQL
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.