{"id":1252868,"url":"https://alion.io/job/kadel-labs-data-engineering-lead","title":"Data Engineering Lead","company":{"id":3800393,"name":"Kadel Labs","domain":"kadellabs.com","url":"https://alion.io/company/kadel-labs","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":"lead","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","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Data Vault","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"ISO 27001","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":".NET","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"GCP","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-12T04:46:26Z","employer_posted_date":null,"last_verified_at":"2026-09-12T04:46:26Z","board_verified":false,"closed_at":null,"days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"About Kadel Labs :\n\nKadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency.\n\nRole : Lead Data Engineer\n\nLocation: Bangalore/Chennai\n\nResponsibilities :\n\n- Design and build scalable, reliable data pipelines and ETL/ELT workflows across batch and near-real-time processing scenarios.\n\n- Develop and maintain data models across relational (SQL Server) and NoSQL (MongoDB, Atlas) systems to support analytical and operational use cases.\n\n- Build and manage data solutions on Microsoft Fabric - including Lakehouses, Warehouses, Dataflows, and Pipelines - to deliver a unified analytics platform.\n\n- Drive AI-enabled development practices within the team - leveraging AI coding assistants, LLM-based tools, and intelligent automation to accelerate pipeline development, improve code quality, and reduce manual effort.\n\n- Lead, mentor, and grow a team of data engineers; conduct code reviews, provide technical guidance, and support career development.\n\n- Collaborate with stakeholders, product owners, data scientists, and analysts to understand data needs and translate them into engineering solutions.\n\n- Build and maintain Power BI data models, semantic layers, and datasets to support self-service analytics and business reporting.\n\n- Continuously identify opportunities to optimize pipeline performance, reduce costs, and improve data reliability and quality.\n\n- Adhere to and enforce data engineering standards, data security, and governance practices across the platform.\n\nRequired Skills and Experience :\n\n- 7 to 10 years of experience in data engineering with a strong track record of delivering production-grade data solutions.\n\n- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.\n\n- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.\n\n- Strong experience with SQL Server including schema design, stored procedures, indexing, and query optimization.\n\n- Experience with MongoDB and MongoDB Atlas for NoSQL data modeling, indexing, aggregation pipelines, and Atlas Search.\n\n- Solid experience designing and operating ETL/ELT pipelines in production, including error handling, monitoring, and SLA management.\n\n- Experience with Power BI including dataset design, DAX, semantic modeling, and enabling self-service reporting.\n\n- Strong exposure to AI-enabled development - using AI coding assistants, prompt-driven development, or LLM-integrated tooling to build and accelerate data engineering workflows.\n\n- Experience leading or managing a small team of engineers - task allocation, mentoring, and performance support.\n\n- Good understanding of data modeling concepts - dimensional modeling, star/snowflake schemas, data vault.\n\n- Ability to communicate technical ideas clearly to both technical and non-technical audiences.\n\nNice to Have Qualities & Skills:\n\n- Hands-on experience with Databricks including Delta Lake, notebooks, jobs, clusters, and Unity Catalog.\n\n- Exposure to cloud data services on Azure (preferred), GCP, or AWS.\n\n- Experience with streaming and event-driven architectures using Apache Kafka, Azure Event Hubs, Azure Service Bus, or similar queue/messaging technologies.\n\n- Exposure to .NET for building data-adjacent services or APIs.\n\n- Familiarity with data governance, data cataloging, and data lineage tooling.\n\n- Exposure to MLOps or supporting ML pipeline infrastructure.\n\n- Exposure to Mortgage or Real Estate domain.\n\nSkills\nMicrosoft Fabric, Python, SQL Server, MongoDB, ETL, Data Modeling, Databricks, Azure, Kafka, Data Engineering","description_format":"text","description_chars":4091,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.739,"p_room":0.75,"age_days":19,"expected_fill_days":24,"reasons":["seen:19","velocity","win:late"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/kadel-labs-data-engineering-lead","json_url":"https://alion.io/job/kadel-labs-data-engineering-lead.json","meta":{"generated_at":"2026-10-01T21:02:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}