{"id":2673196,"url":"https://alion.io/job/ltm-specialist-data-engineering-6","title":"Specialist - Data Engineering","company":{"id":9353,"name":"Ltm","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":81,"open_postings":163,"ghost_share":0,"stale_share":0.773,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-17T05:46:00Z"}},"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, 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selected candidate will work side by side with other data engineers and site reliability engineers to improve the reliability scalability maintenance and operations of all the data products that are part of the experimentation tool\nDay to day work includes but is not limited to maintenance and operations of data pipelines and products that handles data at big scale the development of capabilities for monitoring ing testing and troubleshooting of the data ecosystem of the experiment platform and the delivery of data products that produce metrics for experimentation at scale The selected candidate will collaborate with colleagues in Amsterdam to achieve results the right way This will include engineering managers product managers engineers and data scientists\nKey Responsibilities and Duties\nTake ownership of multiple data pipelines and products and provide innovative solutions to reduce the operational workload required to maintain them\nRapidly developing nextgeneration scalable flexible and highperformance data pipelines\nContribute to the development of data platform capabilities such as testing monitoring debugging and ing to improve the development environment of data products\nSolve issues with data and data pipelines prioritizing based on customer impact\nEndtoend ownership of data quality in complex datasets and data pipelines\nExperiment with new tools and technologies driving innovative engineering solutions to meet business requirements regarding performance scaling and data quality\nProvide selforganizing tools that help the analytics community discover data assess quality explore usage and find peers with relevant expertise\nServe as the main point of contact for technical and business stakeholders regarding data engineering issues such as pipeline failures and data quality concerns\nThe job requirements\nMinimum 5 years of handson experience in data engineering as a Data Engineer or as a Software Engineer developing data pipelines and products\nBachelors degree in Computer Science Computer or Electrical Engineering Mathematics or a related field or 5 years of progressively responsible experience in the specialty as equivalent\nSolid experience in at least one programming language We use Java and Python\nExperience building production data pipelines in the cloud setting up datalakes and serverless solutions\nHandson experience with schema design and data modeling\nExperience designing systems E2E and knowledge of basic concepts lb db caching NoSQL etc\nKnowledge of Flink CDC Kafka Airflow Spark Snowflake DBT or equivalent tools\nPractical experience building data platform capabilities like testing ing monitoring debugging security\nExperience working with big data\nExperience working with teams located in different timezones is a plus\nExperience with experimentation statistics and AB testing is a 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