{"id":3379975,"url":"https://alion.io/job/7-eleven-global-solution-center-software-engineer-ii-data-engineering","title":"Software Engineer II - Data Engineering","company":{"id":3806608,"name":"7-Eleven Global Solution Center","domain":"7-11.com","url":"https://alion.io/company/7-eleven-global-solution-center","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Java","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-10-28T04:07:56Z","employer_posted_date":null,"last_verified_at":"2026-10-28T04:07:56Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Job :\n\nSoftware Engineer II (Data Engineering)\n\nLocation :\n\nBangalore\n\nResponsibilities :\n\n- Design, develop, and maintain scalable data processing pipelines using the Spark ecosystem, including PySpark, Databricks, and Synapse Notebooks.\n\n- 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.\n\n- Implement full and incremental data load strategies, ensuring efficient, reliable, and timely movement of data across source systems and target platforms.\n\n- Perform data cleansing, transformation, aggregation, and modeling to prepare high-quality datasets for analytics, reporting, and downstream consumption.\n\n- Apply Azure security, access control, and data governance practices to ensure secure and compliant data processing and storage.\n\n- Optimize Spark jobs, data pipelines, and SQL workloads for performance, scalability, reliability, and cost efficiency.\n\n- 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.\n\n- Troubleshoot data pipeline and processing issues, perform root-cause analysis, and implement appropriate fixes to maintain data availability and quality.\n\n- Develop reusable frameworks, processes, and best practices for data ingestion, transformation, validation, and monitoring.\n\n- Work closely with business stakeholders, data analysts, and engineering teams to translate data requirements into scalable and maintainable data solutions.\n\nKey Skills Required :\n\nData engineering & Analytics :\n\n- 5+ years of experience in statistics and analytics on large-scale datasets\n\n- Strong SQL and data analysis skills, including SQL DW concepts\n\n- Experience with Spark ecosystem: PySpark, Databricks, Synapse Notebooks (1+ year hands-on)\n\n- Proficiency in Azure Data Services:\n\n1. Azure Synapse\n\n2. Azure Data Factory\n\n3. Azure Data Lake\n\n4. Azure security model\n\n- Experience building pipelines for full and incremental data loads from Azure and on-prem sources\n\n- Strong knowledge of data management, processing, cleaning, transformation, aggregation, and modeling\n\n- Working knowledge of Power BI reports and dashboards (AAS / PBI)\n\nSystems, Cloud & DevOps :\n\n- Strong programming skills in Python (Java is a plus)\n\n- Experience with FastAPI, RESTful services, and microservices architecture\n\n- Proficiency with databases such as MySQL, PostgreSQL, and MongoDB\n\n- Experience deploying applications using Docker and Kubernetes\n\n- Experience with streaming and messaging systems: Kafka, Kinesis, RabbitMQ\n\n- Familiarity with Azure Git and DevOps practices\n\nLeadership & Soft Skills :\n\n- Proven experience leading projects end-to-end\n\n- Strong mentoring and team leadership experience\n\n- Excellent written and verbal communication skills\n\n- Ability to work effectively in distributed teams\n\n- Strong understanding of data structures and design patterns\n\n- Exposure to the retail industry is a plus\n\nGood to have skills :\n\n- AI / ML and Agentic AI\n\nEducation :\n\n- Bachelor's degree in computer science or a related field (required)\n\n- Master's degree is a plus\nSkills\nData Engineering, Azure Data Factory, Spark, Python, SQL, Databricks, Power BI, FastAPI, Kafka, MongoDB, PostgreSQL","description_format":"text","description_chars":3325,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems"],"lifecycle":[{"event":"open","at":"2026-10-28T04:30:50Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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