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This role involves directly working with the&nbsp;other Engineering Leads&nbsp;and cross-functional teams on exciting, high-impact projects that shape the future of our products and data platform.&nbsp;</p><p>You’ll be a key contributor organizing and helping the team with managing the backlog of work items building in collaboration with technical leads and stakeholders for our Databricks-based data infrastructure, ensuring it meets the rigorous standards of the medical device industry. This is a unique opportunity to blend technical expertise with product ownership, helping to drive innovation.&nbsp;</p><p>We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters—and where you’ll grow alongside a team of talented engineers and healthcare professionals—this is the place for you.&nbsp;</p><p><strong>Key Responsibilities:&nbsp;</strong></p><ul><li>Collaborate closely with US based Data Engineering, Data Operations, and Platform teams to ensure alignment on architecture standards, delivery timelines, and operational practices across regions.</li><li>Partner with US stakeholders during onboarding to understand platform context, governance expectations, and ways of working, ensuring seamless cross geo execution.</li><li>Drive the development of new and novel data architectures and pipelines and lead technical discussions to align stakeholders on the technical approach using Databricks.&nbsp;</li><li>Work with cross functional stakeholders to accomplish data integrations, approvals, validation and deployment&nbsp;</li><li>Mentor and coach engineers fostering growth and promoting best practices&nbsp;</li><li>Work with IT, analytics and cross functional teams to identify data sources, determine data collection and design aggregation mechanisms&nbsp;</li><li>Perform data quality checks and data clean up&nbsp;</li><li>Interface with business stakeholders in cross-functional teams, including manufacturing, quality assurance, and post-market surveillance in order to understand various applications and their data sets&nbsp;</li><li>Develop data preprocessing tools as needed&nbsp;</li><li>Maintenance and understanding of the various business intelligence tools used to visualize and report team analytics results to the company&nbsp;</li><li>Ensure all data processes comply with FDA, ISO 13485, HIPAA, and other relevant medical device regulations.&nbsp;</li><li>Collaborate with Quality Assurance and Regulatory Affairs teams to align data practices with audit and documentation standards.&nbsp;</li></ul><p><strong>Education and Experience: &nbsp;</strong></p><ul><li>Bachelors degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field is required&nbsp;</li><li>Master’s degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field; or a BS with experience working with data technologies, is preferred&nbsp;</li><li>8+ years of Data Engineering, Software Engineering development experience.&nbsp;</li><li>1+ years of experience leading Data Engineering development teams.&nbsp;</li><li>Experience in data quality assurance, control and lineage for large datasets in relational/non-relational databases&nbsp;</li><li>Experience managing robust ETL/ELT pipelines for big real-world datasets that could include messy data, unpredictable schema changes and/or incorrect data types&nbsp;</li><li>Experience with both batch data processing and streaming data&nbsp;</li><li>Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse or relational/non-relational databases is required&nbsp;</li><li>Experience in medical device, healthcare, or manufacturing industries is desirable&nbsp;</li><li>HIPAA experience a plus&nbsp;</li></ul><p><strong>Skills/Competencies:&nbsp;</strong></p><ul><li>Strong experience working with globally distributed teams, with the ability to communicate clearly across time zones and collaborate effectively with US based engineering and business stakeholders.&nbsp;</li><li>Demonstrated leadership in enterprise data literacy and data architecture&nbsp;</li><li>Demonstrated knowledge in SQL/relational and noSQL databases is require&nbsp;</li><li>Demonstrated knowledge of managing large data sets in the cloud (Azure/AWS SQL, Databricks, etc) is required&nbsp;</li><li>Knowledge of ETL and workflow tools (Databricks workflows, Azure Data Factory, AWS Glue, etc) is a plus&nbsp;</li><li>Demonstrated knowledge of building, maintaining and scaling cloud architectures (Azure, AWS, etc), specifically cloud data tools that leverage Spark, is required&nbsp;</li><li>Demonstrated coding abilities in Python, Java, C or scripting language&nbsp;</li><li>Demonstrated familiarity with different data types as inputs (e.g. CSV, XML, JSON, etc)&nbsp;</li><li>Demonstrated knowledge of database and dataset validation best practice&nbsp;</li><li>Ability to communicate effectively and document objectives and procedures&nbsp;</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/ansrmedtechjobs/manager-data-engineering-bengaluru-T500-25457","created_at":"2026-04-24T13:59:12.570365+05:30","updated_at":"2026-05-12T16:19:55.453656+05:30","title_alias_1":"Manager Data Engineering","slug":"manager-data-engineering-bengaluru-T500-25457","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":8,"max_experience_years":12,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-25457","external_id":37156,"external_job_code":"INSSS001","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-04-24T11:36:30.915505+05:30","published_at":"2026-04-24T13:59:11.786039+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-25457.png","role_summary":"<p><strong>About ANSR MedTech:&nbsp;</strong></p><p>Who We Are&nbsp; 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