
Senior Manager Data Engineering
- Bangalore, Karnataka
- Permanent
- Full-time
- Design and build data pipelines using modern or appropriate platforms (Databricks or Spark or DBT)
- Design and build orchestration layer in Cloud environment to drive automation of data ingestion
- Processing and Cleaning of data
- Design and build best in class processes to clean and standardize data
- Troubleshoot downstream production issues in our Cloud Environments
- Tuning and optimizing data processes
- Work on Proof of Concepts for Cloud, Big Data and Data Science
- Design innovative and best in class Data Architectures that comply with enterprise standards
- Lead, mentor, train team of junior Data Engineers
- Partner with Product Managers or AI Engineering Teams to design data structures and pipelines that meet and exceed the goals for the products
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- 12+ years of experience in data engineering, with at least 3+ years in a lead or principal role
- 3+ years of experience in Azure Data Factory (ADF): building complex, parameterized pipelines, integrating with Azure services
- 2+ years of experience with proficiency in Snowflake: data modeling, performance tuning
- 3+ years of experience with CI/CD pipelines using GitHub Actions
- 3+ years of experience working with healthcare datasets, including claims data, clinical registries, and patient engagement platforms
- Experience with REST APIs and healthcare data APIs for data ingestion and integration
- Proven ability to lead Data Engineering teams, mentor junior engineers, and drive architectural decisions
- Proven solid communication skills to collaborate with technical and non-technical stakeholders
- 4+ years of experience with solid SQL skills and experience with Python for data transformation and orchestration