Amazon Web Services (AWS)
PythonJob Title: Senior Data Engineer
Location: Bangalore | Hybrid
Company: krtrimaIQ Cognitive Solutions
Role Overview:
As a Senior Data Engineer, you will design, build, and optimize robust data foundations and end-to-end solutions to unlock maximum value from data across the organization. You will play a key role in fostering data-driven thinking, not only within the IT function but also among broader business stakeholders. You will serve as a technology and subject matter expert, providing mentorship to junior engineers and translating the company’s vision and Data Strategy into actionable, high-impact IT solutions.
Key Responsibilities:
- Design, develop, and implement scalable data solutions to support business objectives and drive digital transformation.
- Serve as a subject matter expert in data engineering, providing guidance and mentorship to junior team members.
- Enable and promote data-driven culture throughout the organization, engaging both technical and business stakeholders.
- Lead the design and delivery of Data Foundation initiatives, ensuring adoption and value realization across business units.
- Collaborate with business and IT teams to capture requirements, design optimal data models, and deliver high-value insights.
- Manage and drive change management, incident management, and problem management processes related to data platforms.
- Present technical reports and actionable insights to stakeholders and leadership teams, acting as the expert in Data Analysis and Design.
- Continuously improve efficiency and effectiveness of solution delivery, driving down costs and reducing implementation times.
- Contribute to organizational knowledge-sharing and capability building (e.g., Centers of Excellence, Communities of Practice).
- Champion best practices in code quality, DevOps, CI/CD, and data governance throughout the solution lifecycle.
Key Characteristics:
- Technology expert with a passion for continuous learning and exploring multiple perspectives.
- Deep expertise in the data engineering/technology domain, with hands-on experience across the full data stack.
- Excellent communicator, able to bridge the gap between technical teams and business stakeholders.
- Trusted leader, respected across levels for subject matter expertise and collaborative approach.
Mandatory Skills & Experience:
- Mastery in public cloud platforms: AWS, Azure, SAP
- Mastery in ELT (Extract, Load, Transform) operations
- Advanced data modeling expertise for enterprise data platforms
Hands-on skills:
- Data Integration & Ingestion
- Data Manipulation and Processing
- Source/version control and DevOps tools: GITHUB, Actions, Azure DevOps
- Data engineering/data platform tools: Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Apache Airflow, AWS Kinesis, Amazon Redshift, SonarQube, PyTest
- Experience building scalable and reliable data pipelines for analytics and other business applications
Optional/Preferred Skills:
- Project management experience, especially running or contributing to Scrum teams
- Experience working with BPC (Business Planning and Consolidation), Planning tools
- Exposure to working with external partners in the technology ecosystem and vendor management
What We Offer:
- Opportunity to leverage cutting-edge technologies in a high-impact, global business environment
- Collaborative, growth-oriented culture with strong community and knowledge-sharing
- Chance to influence and drive key data initiatives across the organization
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