{"id":2740688,"url":"https://alion.io/job/solventum-corporation-data-analytics-senior-integration-data-engineer","title":"Data Analytics Senior Integration Data Engineer","company":{"id":6402,"name":"Solventum Corporation","domain":"solventum.com","url":"https://alion.io/company/solventum","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":81,"ghost_share":0,"stale_share":0.926,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"DataStage","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Informatica","optional":false},{"name":"Oracle","optional":false},{"name":"Perl","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-16T20:42:17Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T06:05:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information-learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/Job Description:\nData Analytics Senior Integration Data Engineer (Solventum)\n3M Health Care is now Solventum\nAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.\nWe partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.\nThe Impact You’ll Make in this Role\nAs a Senior Integration Data Engineer, you will serve as the technical backbone of our data ecosystem. You will be responsible for the full lifecycle of data integration, transforming raw, disparate healthcare data into a structured, reliable asset within our Snowflake data warehouse. You will leverage AWS Glue, FiveTran and Snowpipes to build scalable, cloud-native pipelines that empower analytics, drive clinical insights, and support our mission in the healthcare space.\n. Core Responsibilities: (essential job duties and responsibilities)\nDesign, develop, and test high-performance and scalable ETL processes to move data from disparate sources (including databases, APIs, and flat files) into the data warehouse.\nImplement complex data transformations and business logic within the ETL workflows to cleanse, standardize, and enrich the data according to business requirements.\nTake ownership of the end-to-end data pipeline, including monitoring, troubleshooting, and optimizing ETL jobs for performance and reliability.\nDevelop and maintain comprehensive documentation for all ETL processes, including data source mapping, transformation rules, and data lineage.\nCollaborate with Data Modelers and Data Architects to understand data structures and ensure ETL processes align with physical data models.\nImplement data quality checks and validation steps within the pipelines to ensure the accuracy and integrity of the data being loaded.\nWork closely with source system owners to understand data formats and ensure seamless data extraction.\nRequired Skills and Experiences:\nBachelor's Degree in Engineering or associated field. \nDeep, hands-on expertise with enterprise-level ETL tools such as AWS Glue, AWS S3, Informatica (IICS/PowerCenter), HVR, or Fivetran.\nAdvanced proficiency in SQL, with the ability to write complex queries, stored procedures, and functions for data extraction and manipulation.\nStrong scripting skills in languages like Python, Perl, or Shell scripting to automate workflows and implement custom transformation logic.\nProven experience building and maintaining ETL solutions in a data warehousing environment.\nStrong understanding of database fundamentals and experience working with various relational databases (e.g., Oracle, SQL Server, Postgres), NoSQL, APIs, SFTPs, etc.\nExceptional troubleshooting and problem-solving skills, with a knack for debugging complex data pipeline issues.\nAbility to work independently and manage multiple ETL projects simultaneously.\nMinimum Qualifications:\n6+ years of dedicated experience as an ETL Developer or Engineer.\n4+ years of intensive development experience with at least one major ETL tool (e.g., AWS Glue, Informatica, DataStage, Fivetran).\n4+ years of experience writing complex SQL for data-intensive applications.\nDemonstrable experience performance tuning and optimizing long-running ETL jobs.\n1+ years of experience with Snowflake, including its data loading features (e.g., Snowpipe, COPY command).\nNice-to-Haves\nExperience with cloud-native ETL/ELT services like AWS Glue, Azure Data Factory, or Google Dataflow.\nFamiliarity with Change Data Capture (CDC) techniques and tools.\nExposure to big data technologies like Spark or Hadoop.\nBasic understanding of data modeling concepts (e.g., star schema, snowflake schema).\nEducation:\nBachelor’s in Computer Science, Information Systems, Engineering, science discipline, or similar\nWork location: Bangalore (Hybrid)\nTravel: None\nSolventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.\nPlease note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.\nPlease note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.\nSolventum Global Terms of Use and Privacy Statement\nCarefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.\nPlease access the linked document by clicking here. 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