Role Description

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:
- Azure Synapse
- Azure Data Factory
- Azure Data Lake
- 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
- Solid 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

📌 Software Engineer II (Data Engineering) (Bengaluru)
🏢 7-Eleven Global Solution Center – India
📍 Bengaluru