Senior Lead Data Engineer in Bangalore, Karnataka, India designing and building AWS data engineering solutions. Leading teams on scalable data pipelines using Spark, PySpark, and Python.
About the role
- Data Engineer III at Hanger, Inc. designing and maintaining data solutions using Microsoft Azure. Collaborating with stakeholders and optimizing ETL processes for enterprise analytics.
Responsibilities
- Design, develop, and maintain scalable data pipelines and integrations using Microsoft Azure and Microsoft Fabric.
- Build and optimize ETL/ELT processes to ingest structured and semi-structured data from internal and external systems.
- Design and implement logical and physical data models to support enterprise analytics, reporting, and business intelligence initiatives.
- Develop and optimize relational databases, including Microsoft SQL Server and PostgreSQL (PostgresDB).
- Apply dimensional modeling techniques (e.g., star and snowflake schemas) to support reporting and analytical use cases.
- Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure SQL, Azure Storage) to deliver scalable, secure data solutions.
- Develop and maintain Microsoft Fabric solutions, including pipelines, lakehouse environments, and semantic models.
- Integrate and manage data ingestion tools such as Fivetran or similar data integration platforms.
- Monitor, troubleshoot, and optimize data pipeline performance and reliability.
- Ensure adherence to data governance, security, and compliance standards.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Provide mentorship and technical guidance to Data Engineers I and II.
- Participate in code reviews and promote best practices in data engineering and DevOps methodologies.
Requirements
- 5+ years of experience in data engineering, data warehousing, or related technical roles.
- Hands-on experience building and maintaining cloud-based ETL/ELT pipelines.
- Strong experience with Microsoft Azure data services.
- Demonstrated experience in data modeling for enterprise analytics.
- Advanced proficiency in SQL and experience with Microsoft SQL Server and PostgreSQL (PostgresDB).
- Must have, or be eligible to obtain, a valid driver’s license and driving record within the standards outlined within Hanger’s Motor Vehicle Safety Policy and Procedures.
- Preferred: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Experience with Microsoft Fabric.
- Experience with Fivetran or similar data integration platforms.
- Experience in healthcare or other regulated industries.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code.
Benefits
- 8 Paid National Holidays & 4 additional Floating Holidays
- PTO that includes Vacation and Sick time
- Medical, Dental, and Vision Benefits
- 401k Savings and Retirement Plan
- Paid Parental Bonding Leave for New Parents
- Flexible Work Schedules and Part-time Opportunities
- Generous Employee Referral Bonus Program
- Mentorship Programs- Mentor and Mentee
- Student Loan Repayment Assistance by Location
- Relocation Assistance
- Regional & National traveling CPO/CO/CP opportunities
- Volunteering for Local and National events such as Hanger’s BAKA Bootcamp and EmpowerFest
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer creating and implementing Big Data applications at Absa with business stakeholders and technology leaders. Involves ETL/ELT pipeline design, data automation, and team mentorship.
Senior Data Architect delivering, enhancing, and adopting enterprise data and analytics products for DoD organizations. Collaborating with teams to translate requirements into scalable solutions for national security outcomes.
Senior Data Engineer supporting the delivery and enhancement of enterprise data and analytics for DoD organizations. Collaborating with engineers and government partners on scalable, production - ready solutions.
Senior Data Engineer at Skillfield designing distributed data processing solutions using Apache Spark. Collaborates on cloud and on - prem solutions across enterprise levels in a hybrid work environment.
Senior Data Engineer optimizing ETL/ELT pipelines at Asahi Kasei. Evaluate programming concepts and support data science projects while ensuring solution stability in a hybrid work setup.
Data Engineer responsible for building data intelligence system for the public sector. Ensuring data ingestion, quality, correlation, and helping with analytics for decision making.
Big Data Engineer focused on architecting and deploying scalable Apache Spark environments. Working on Nebul’s sovereign AI cloud to enhance data performance and security.
BI Specialist focusing on data architecture and insights for RPE. Collaborating with business and technology teams to enhance data governance and analytics.
Technical Lead responsible for delivering innovative software solutions for the healthcare sector. Leading technical teams and ensuring compliance with governance standards across Australia and New Zealand.