Overview
Lead the architecture, design and development of data warehousing solutions and mentor the data engineering team.
What you'll do
- Lead the architecture, design, and development of data warehousing solutions.
- Provide technical guidance and mentorship to the data engineering team.
- Ensure best practices in data warehousing, ETL / ELT processes, and data integration.
- Design, develop, and optimize ETL / ELT pipelines using industry-standard tools.
- Ensure data accuracy, integrity, and consistency across data sources.
- Monitor and troubleshoot ETL / ELT processes to ensure timely and accurate data loading.
- Implement and manage data warehousing solutions using Snowflake.
- Utilize AWS Glue for data integration and ETL / ELT tasks.
- Optimize data storage and retrieval processes to enhance performance.
- Apply AI/ML concepts to extract insights from large datasets.
- Integrate AI solutions like Cortex AI/AWS Bedrock into the data warehousing environment.
- Leverage knowledge in Finance, Accounts, and Manufacturing to understand business requirements.
- Develop data solutions that address specific needs within these domains.
- Collaborate with stakeholders to gather and analyse business requirements.
What you'll need
- Overall, 3 to 5 years' experience.
- 2+ years of experience in Data Analytics and Digital solutions with exposure to Lake house architecture.
- BTech in Computer Science or IT.
- Technical expertise with data models, data mining, and segmentation techniques.
- Knowledge of programming languages (e.g. Java and Python).
- Hands-on experience with SQL database design.
- Exposure to Cloud ETL / ELT, Cloud DWH, AI and ML tools.
- Domain expertise in Finance, Accounts, and Manufacturing.
- Strong analytical and problem-solving skills.
- Strong influencing and communication skills (written, verbal, presentation) with the ability to be a thought partner/coach to internal team.
- Exposure to agile software development, and/or development management.
- Positive attitude and motivation to deliver and ensure highest quality deliverables.
- Able to respond positively and calmly to shifting priorities, demands and timelines.
Nice to have
- Exposure to Cortex AI, AWS Bedrock, Copilot studio.
Details
- Location: Bangalore, Karnataka, India.
Read the full description and apply on the company’s own careers page.