Manager-Data & ML Engg
Bangalore, Karnataka, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingOversee data engineering solutions built on Azure Databricks
Deploy machine learning models into production and integrate them into data pipelines
Lead development of data processing frameworks for real-time analytics and reporting
Mentor and guide junior engineers
Monitor and optimize data workflows for performance and cost
From the employer’s posting
Oversee the design and implementation of data engineering solutions using Azure Databricks
Facilitate the deployment of machine learning models into production environments
Lead the development of data processing frameworks that support real-time analytics and reporting.
Provide technical guidance and mentorship to junior engineers
Monitor and optimize data workflows to ensure high performance and cost-effectiveness.
What you’ll bring
All qualificationsCore experience
- 8 to 10 years of experience
- Strong background in Azure Databricks and Azure Platform
- Proven experience building and managing data pipelines and workflows
- Solid understanding of data governance and security best practices
- Strong communication and problem-solving skills
Qualification wording
8 to 10 years of experience
Possess a strong background in Azure Databricks and Azure Platform
Demonstrate proficiency in building and managing data pipelines and workflows.
Have a solid understanding of data governance and security best practices.
Display strong communication skills to effectively collaborate with cross-functional teams.
Tools in this posting
- Azure
- Databricks
Source — Tool mentions in context
Job Summary We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives. Responsibilities
Responsibilities - Oversee the design and implementation of data engineering solutions using Azure Databricks to drive business insights and efficiency. - Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making.
- Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making. - Ensure the scalability and reliability of data platforms by leveraging Azure Platform capabilities. - Lead the development of data processing frameworks that support real-time analytics and reporting.
Qualifications - Possess a strong background in Azure Databricks and Azure Platform with proven experience in data engineering. - Demonstrate proficiency in building and managing data pipelines and workflows.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 10 days ago
- Recorded sightings
- 38
- Last seen by us
- Oct 25, 2026
- Reposted
- once since Sep 12, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
Job Summary
We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives.
Responsibilities
- Oversee the design and implementation of data engineering solutions using Azure Databricks to drive business insights and efficiency.
- Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making.
- Ensure the scalability and reliability of data platforms by leveraging Azure Platform capabilities.
- Lead the development of data processing frameworks that support real-time analytics and reporting.
- Provide technical guidance and mentorship to junior engineers to foster a culture of continuous learning and improvement.
- Monitor and optimize data workflows to ensure high performance and cost-effectiveness.
- Coordinate with stakeholders to understand data requirements and translate them into actionable engineering plans.
- Implement best practices for data governance and security to protect sensitive information and maintain compliance.
- Drive innovation by exploring new data technologies and methodologies to enhance the companys data capabilities.
- Facilitate the deployment of machine learning models into production environments ensuring seamless integration and operation.
- Analyze and troubleshoot data-related issues providing timely resolutions to minimize disruptions.
- Collaborate with data scientists to refine algorithms and improve model accuracy and performance.
- Report on project progress and outcomes to senior management highlighting key achievements and areas for improvement.
Qualifications
- Possess a strong background in Azure Databricks and Azure Platform with proven experience in data engineering.
- Demonstrate proficiency in building and managing data pipelines and workflows.
- Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Show experience in mentoring and guiding junior team members to achieve project goals.
- Have a solid understanding of data governance and security best practices.
- Display strong communication skills to effectively collaborate with cross-functional teams.
- Be adept at managing multiple projects simultaneously ensuring timely delivery and quality outcomes.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Karnataka, India
Job Summary We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives. Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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