Data Engineering Manager
- Healthedge
- 10 - 13 years
- Bengaluru
- 5 days ago
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Job Description
- We are seeking a highly skilled and experienced Data Engineering Manager to lead and grow our data platform team. The ideal candidate will have a proven track record in driving data-driven innovation, leading high-performing teams, and delivering impactful solutions. You will be responsible for setting the strategic direction for our data platform initiatives, collaborating with cross-functional teams, and fostering a culture of data-driven decision-making.
What you will do
Team Leadership:
- Recruit, hire, and develop a talented team of data scientists and machine learning engineers.
- Mentor and coach team members to foster professional growth and innovation.
Strategic Leadership:
- Develop and execute the long-term data science strategy, aligning with the overall business goals.
- Collaborate with senior leadership to communicate the value of data science initiatives and secure necessary resources.
Team Management:
- Oversee the end-to-end lifecycle of data engineering projects, from ideation to deployment and ongoing monitoring.
- Ensure projects are delivered on time, within budget, and meet the highest quality standards.
Technical Expertise:
- Implement best practices in terms of coding, design and architecture
- Provide technical guidance and support to the data engineering team.
What You Have
- 5+ years of team leadership and 10+ years of total data engineering experience working in partnership with large data sets
- Solid experience, developing and implementing DW Architectures, OLAP & OLTP technologies, data modeling with star/snowflake-schemas to enable self-service reporting and data lake.
- Hands-on deep experience with cloud data tech stack, and experience working with query engines like Redshift, EMR, AWS RDS or similar
- Experience building data solutions within any cloud platforms using Postgres, SQL Server, Oracle and other similar services and tools
- Advanced SQL and programming experience with Python and/or Spark
- Experience or demonstrated understanding with real-time data streaming tools like Kafka, Kinesis or any similar tools
- Familiarity with BI & dashboarding tools and multi-dimensional modeling
- Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems
- Excellent communication and presentation skills as youll be regularly interacting with stakeholders and engineering leadership.
- Bachelors or master's in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.
- Nice to Have: Certification in one of the cloud platforms (AWS/GCP/Azure)
Job Classification
Industry: BiotechnologyFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database ManagerEmployement Type: Full timeContact Details:
Company: HealthedgeLocation(s): Bengaluru+ View Contact
Keyskills: Data Engineering Azure GCP Cloud certification Data lake Postgres SQL Server Spark Oracle AWS Python SQL
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