Data Manager
Bangalore, India
HealthEdge
Power your digital healthcare transformation with an ecosystem of healthcare SaaS that manages all your complex needs.Overview
Data Manager
What you will do:
· Lead a team of data engineers, work with them to develop ETL processes using tools such as T-SQL, SSIS, SSRS, Python and other data solutions in Azure Cloud platforms
· Collaborate with the SMEs, BAs to help design, implement and support data infrastructure needs and solutions for new implementation and Data warehouse modules
· Work closely with data architect, leadership and other technology partners to develop & execute on the data architecture and product roadmap
· Investigate data-related client inquiries, communicate the outcomes with the Payment policy and client services team
· Investigate issues and bugs related to data, perform root cause analysis, identify remediation steps
· Manage the internal web monitoring tools for the data files, monitor data files daily
· Create and prioritize user stories, plan Kanban board, facilitate the daily sync meetings, participate in user stories grooming
· Help team members resolve blockers and operational bottlenecks to support continuous data delivery for various applications.
· Collaborate with the data team members to work on ETL automations, new enhancements and process improvements
· Manage the team’s time logs, do the 1:1 reviews and other administrative duties
What You Bring:
· 3+ years of experience with managing the data engineering team
· Strong understanding of ETL concepts, RDBMS systems, T-SQL and other programming languages such as Python, Powershell
· Solid knowledge on cloud services technologies such as Azure, Microsoft fabric or other data platforms
· Sound knowledge of version control tools such as GIT, ADO
· Sound understanding of SSDT tools for building SQL server relational databases, databases in Azure SQL, Analysis Services data models, Integration Services packages and Reporting Services reports
· Excellent communication skills and detail-oriented
Bonus points:
· Experience with US Healthcare data domain is a plus
· Certification in one of the cloud platforms (AWS/GCP/Azure)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Data warehouse Engineering ETL GCP Git Kanban Python RDBMS SQL SSIS T-SQL
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