BENGALURU · FULLTIME
Lead Data Engineer, Cloud Data & Analytics
Decision Foundry
Bengaluru · onsite · Posted 23d ago
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Undisclosed7–12 yrsfulltimeBengaluru
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Section · 01
About this role
About the Role
We are looking for a Lead Data Engineer to design, build, and scale cloud native data infrastructure and pipelines that power analytics, reporting, and AI/ML initiatives. You will take technical ownership of our data platform, including architecture, ingestion, warehousing, and performance, with a strong emphasis on AWS and Snowflake, while mentoring engineers and partnering closely with analytics and platform teams.
We are looking for a Lead Data Engineer to design, build, and scale cloud native data infrastructure and pipelines that power analytics, reporting, and AI/ML initiatives. You will take technical ownership of our data platform, including architecture, ingestion, warehousing, and performance, with a strong emphasis on AWS and Snowflake, while mentoring engineers and partnering closely with analytics and platform teams.
What You Will Do
- Architect, build, and maintain scalable ELT/ETL pipelines integrating data from many disparate sources into a centralized cloud data warehouse
- Design and optimize Snowflake schemas, warehouses, and query performance, driving down processing times and controlling compute costs
- Build and manage cloud infrastructure on AWS (compute, storage, orchestration, and managed data/ML services) in partnership with cloud engineering
- Lead data pipeline orchestration using modern tooling (dbt, Airflow, Glue, or similar) to reliably feed dashboards, reports, and downstream applications
- Establish and enforce data quality, security, and governance standards, including periodic audits of cloud data environments
- Design and deploy data driven applications and pipelines in support of business and analytics use cases
- Set up and maintain shared data environments (containerized data science/dev environments) supporting many concurrent users
- Provide technical leadership across the data engineering function: setting standards, reviewing designs, and mentoring engineers
Required qualifications
What You Will Bring
- 7+ years of experience designing, building, and deploying data engineering pipelines and platforms
- Deep hands on expertise with Snowflake and strong SQL skills across relational and cloud data warehouses
- Strong experience with AWS cloud services for data engineering (compute, storage, orchestration, and managed services)
- Proficiency in Python for pipeline development and automation
- Experience with modern ETL/ELT and orchestration tooling (dbt, Airflow, Glue, or similar)
- Familiarity with containerization (Docker, Kubernetes) for data environments
- Experience with BI/analytics platforms (Tableau, Power BI)
- Ability to design and support lightweight APIs/services for data delivery
- Bachelor's degree in Computer Science, Information Technology, or a related field
Nice to Have
- Exposure to AI/ML tooling and workflows, including LLM based applications
- Relevant cloud or data engineering certifications
- Prior consulting or client facing delivery experience across multiple industries
Skills
AI/ML SQL Tableau ETL/ELT AWS Power BI Docker Kubernetes Python
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationDockerData Engineercloud engineeringapiscloud nativeamazon web servicesapache airflowauditsanalytics platformsAnalyticsCloud DataCloud InfrastructureconcurrentData EngineeringcloudArchitectureArtificial Intelligence
Section · Company
About Decision Foundry
Decision Foundry
IT Services & Consulting
90
employees
New York
US
₹13.8L PA avg
Avg at Decision Foundry
About
A global consultancy specializing in Salesforce Marketing Cloud implementation and advanced analytics solutions to enhance marketing effectiveness.
Industries
IT Services & Consulting
Employee ratings
10 reviews
4.1/ 5
Culture
3.7
Career growth
2.9
Work-life
3.9
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