About the role
Job: Software Engineer II (Data Engineering)
Location: Bangalore
Responsibilities:
• Design, develop, and maintain scalable data processing pipelines using the Spark ecosystem, including
PySpark, Databricks, and Synapse Notebooks.
• Develop and manage data pipelines using Azure Data Factory, Azure Synapse, and Azure Data Lake to
ingest, process, and integrate data from Azure and on-premises sources.
• Implement full and incremental data load strategies, ensuring efficient, reliable, and timely movement of
data across source systems and target platforms.
• Perform data cleansing, transformation, aggregation, and modeling to prepare high-quality datasets for
analytics, reporting, and downstream consumption.
• Apply Azure security, access control, and data governance practices to ensure secure and compliant data
processing and storage.
• Optimize Spark jobs, data pipelines, and SQL workloads for performance, scalability, reliability, and cost
efficiency.
• Collaborate with BI and analytics teams to support Power BI reports and dashboards, including
datasets/models hosted on Azure Analysis Services (AAS) and Power BI.
• Troubleshoot data pipeline and processing issues, perform root-cause analysis, and implement appropriate
fixes to maintain data availability and quality.
• Develop reusable frameworks, processes, and best practices for data ingestion, transformation, validation,
and monitoring.
• Work closely with business stakeholders, data analysts, and engineering teams to translate data
requirements into scalable and maintainable data solutions.
Key Skills Required:
Data engineering & Analytics:
• 5+ years of experience in statistics and analytics on large-scale datasets
• Strong SQL and data analysis skills, including SQL DW concepts
• Experience with Spark ecosystem: PySpark, Databricks, Synapse Notebooks (1+ year hands-on)
• Proficiency in Azure Data Services:
o Azure Synapse
o Azure Data Factory
o Azure Data Lake
o Azure security model
• Experience building pipelines for full and incremental data loads from Azure and on-prem sources
• Strong knowledge of data management, processing, cleaning, transformation, aggregation, and modeling
• Working knowledge of Power BI reports and dashboards (AAS / PBI)
Systems, Cloud & DevOps
• Strong programming skills in Python (Java is a plus)
• Experience with FastAPI, RESTful services, and microservices architecture
• Proficiency with databases such as MySQL, PostgreSQL, and MongoDB
• Experience deploying applications using Docker and Kubernetes
• Experience with streaming and messaging systems: Kafka, Kinesis, RabbitMQ
• Familiarity with Azure Git and DevOps practices
Leadership & Soft Skills
• Proven experience leading projects end-to-end
• Strong mentoring and team leadership experience
• Excellent written and verbal communication skills
• Ability to work effectively in distributed teams
• Strong understanding of data structures and design patterns
• Exposure to the retail industry is a plus
Good to have skills:
• AI /ML and Agentic AI
Education:
• Bachelor’s degree in computer science or a related field (required)
• Master’s degree is a plus