{"id":3528464,"url":"https://alion.io/job/merck-co-specialist-data-engineering-4","title":"Specialist, Data Engineering","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":176,"ghost_share":0.028,"stale_share":0.114,"repost_share":0.165,"time_to_fill_p50_days":16,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Hyderabad, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"Rest API","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-30T15:08:09Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-05T12:13:18Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\nThe Opportunity:\nBased in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.\nBe part of an organization driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.\nDrive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.\nOur Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.\nA focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.\nRole Overview:\nA Data Engineer is responsible for designing, building, and maintaining robust data pipelines and infrastructure that facilitate the collection, storage, and processing of large datasets. They collaborate with data scientists and analysts to ensure data is accessible, reliable, and optimized for analysis. Key tasks include data integration, ETL (Extract, Transform, Load) processes, and managing databases and cloud-based systems. Data engineers play a crucial role in enabling data-driven decision-making and ensuring data quality across organizations.\nWhat will you do in this role:\nDevelop comprehensive High-Level Technical Design and Data Mapping documents to meet specific business integration requirements.\nOwn the data integration and ingestion solutions throughout the project lifecycle, delivering key artifacts such as data flow diagrams and source system inventories.\nProvide end-to-end delivery ownership for assigned data pipelines, performing cleansing, processing, and validation on the data to ensure its quality.\nDefine and implement robust Test Strategies and Test Plans, ensuring end-to-end accountability for middleware testing and evidence management.\nCollaborate with the Solutions Architecture and Business analyst teams to analyze system requirements and prototype innovative integration methods.\nExhibit a hands-on leadership approach, ready to engage in coding, debugging, and all necessary actions to ensure the delivery of high-quality, scalable products.\nInfluence and drive cross-product teams and collaboration while coordinating the execution of complex, technology-driven initiatives within distributed and remote teams.\nWork closely with various platforms and competencies to enrich the purpose of Enterprise Integration and guide their roadmaps to address current and emerging data integration and ingestion capabilities.\nDesign ETL/ELT solutions, lead comprehensive system and integration testing, and outline standards and architectural toolkits to underpin our data integration efforts.\nAnalyze data requirements and translate them into technical specifications for ETL processes.\nDevelop and maintain ETL workflows, ensuring optimal performance and error handling mechanisms are in place.\nMonitor and troubleshoot ETL processes to ensure timely and successful data delivery.\nCollaborate with data analyst and other stakeholders to ensure alignment between data architecture and integration strategies.\nDocument integration processes, data mappings, and ETL workflows to maintain clear communication and ensure knowledge transfer.\nPrimary skills (must-have)\nBachelor’s degree in information technology, Computer Science or any Technology stream\n5+ years of experience with enterprise data integration technologies, including Informatica PowerCenter and Informatica Intelligent Data Management Cloud services such as CDI, CAI, Mass Ingest, and Orchestration.\n5+ years of experience integrating systems through REST and custom APIs.\n5+ years of experience with relational database technologies and cloud data stores across AWS, GCP, and Azure.\n2+ years of experience applying the AWS Well-Architected Framework to cloud deployment, integration, and data engineering.\nPreferred experience with CI/CD processes and related tools including- Terraform, GitHub Actions, Artifactory etc.\nProven expertise in Python and Shell scripting, with a strong focus on leveraging these languages for data integration and orchestration to optimize workflows and enhance data processing efficiency\nExtensive Experience in design of reusable integration pattern using the cloud native technologies\nExtensive Experience Process orchestration and Scheduling Integration Jobs in Autosys, Airflow.\nExperience in Agile development methodologies and release management techniques\nExcellent analytical and problem-solving skills\nGood Understanding of data modeling and data architecture principles\nPrimary skills (must-have)\nInformatica PowerCenter and IDMC\nSecondary skills (nice to have)\nREST/custom APIs, Python, Shell scripting, AWS\nWho we are:\nWe are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.\nWhat we look for:\nImagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us-and start making your impact today.\nAdditional location(s) Compensation Information:\nRequired Skills:\nAgile Methodology, Agile Methodology, Agile Project Management, Agile Scrum Development, Business Intelligence (BI), Business Workflow Analysis, Database Administration, Database Integration, Data Engineering, Data Integration, Data Management, Data Mapping, Data Modeling, Data Retrieval, Data Store, Data Validation, Data Visualization, Design Applications, Distributed Development, Enterprise Data Management, Error Detection, Error Handling, Informatica PowerCenter, Information Engineering, Information Integration {+ 7 more}Preferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nSecondary Language(s) Job Description:\n#MSDHYDIT\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nDomesticVISA Sponsorship:\nNoTravel Requirements:\nNo Travel RequiredFlexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nn/aJob Posting End Date:\n11/6/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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