{"id":2312403,"url":"https://alion.io/job/andrew-data-platforms-senior-engineer-databricks","title":"Data Platforms Senior Engineer – Databricks","company":{"id":3783818,"name":"Andrew Alliance","domain":"andrewalliance.com","url":"https://alion.io/company/andrew-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-10-12T02:13:11Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T14:11:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview\nThe Senior Data Engineer (ETL) will lead the design and development of scalable ETL pipelines for Waters’ Enterprise Data Lakehouse. This role requires a strong technical foundation, hands-on experience with Azure databricks, Pyspark, SQL, Python & GITHUB alongwith a strong understanding of standard data engineering practices, and the ability to work cross-functionally with business and technical teams\nResponsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes.\nDevelop and optimize data processing solutions using Databricks and Apache Spark.\nBuild data pipelines using PySpark, Python, and SQL.\nWork with Databricks notebooks, workflows/jobs, clusters, and Delta Lake.\nImplement incremental data processing and performance optimization techniques.\nManage source code using GitHub, including branching, pull requests, code reviews, and repository management.\nImplement and maintain CI/CD pipelines for data engineering workloads using GitHub-based development practices.\nQualifications\nBachelor’s degree in computer science, Software Engineering, Information Systems, or a related field.\nTypically, 4-7 years of relevant experience in Data Engineering, ETL, DWH, or data analytics decision support role, with some senior roles requiring total experience between 4 to 7 years.\nStrong handson experience with Databricks platform.\n Expert proficiency in SQL and Python (advanced querying, stored procedures, performance tuning).\nExtensive experience with ETL tools and platforms (e.g., SSIS, Azure Data Factory, Azure DataBricks).\nDeep understanding of data warehousing concepts (dimensional modelling, Kimball/Inmon methodologies).\nFamiliarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) for processing large\nExperience with version control systems (e.g., Git).\nStrong technical & analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into operational requirements\nCompany Description\nWaters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.\nDiversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. 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