{"id":3461522,"url":"https://alion.io/job/emd-group-data-engineer-snowflakesaws","title":"Data Engineer - Snowflakes/AWS","company":{"id":1844673,"name":"EMD Group","domain":"emdgroup.com","url":"https://alion.io/company/emdgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":94,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","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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Snowflake.\nCore Responsibilities\nData Pipeline & Architecture: Design, build, and deploy scalable data ingestion and transformation workflows.\nSQL & Performance Optimization: Write, tune, and troubleshoot complex SQL queries, stored procedures, views, and Snowflake virtual warehouses for speed and cost efficiency.\n Data Modeling: Design dimensional models, star/snowflake schemas, fact/dimension tables, and Slowly Changing Dimensions (SCD).\n DevOps & CI/CD: Implement version control (Git/GitHub), CI/CD pipelines, state-based deployments, and dbt (data build tool) integrations.\n Security & Governance: Ensure role-based access control (RBAC), data masking, encryption, and compliance best practices are applied.\nPython: Backend service development, REST API integration, retry and error-handling mechanisms, data schema modelling and validation with PydanticSQL and Snowflake: MERGE- and stream-based CDC pipelines, Tasks, stored procedures, Secure Views, Snowpipe and Snowpipe Streaming, Secure Data Sharing, RBAC, role and grant management, and warehouse performance tuning\nTerraform: Infrastructure as code for Snowflake databases, roles, grants, warehouses, and repeatable multi-environment deployments\n\nAWS: Lambda-based event-driven ingestion, Amazon S3 data lake storage, AWS Glue Data Catalog, and IAM-based access controlsPalantir Foundry: Workshop-based GUI development and backend workflow orchestration for data-request, approval, and provisioning processes\nVersion Control and CI Engineering: Git-based development workflows, pre-commit hooks, Ruff-based linting and formatting, pull-request templates, review gates, and structured AI-assisted development workflows\nData Modelling and Interchange Formats: JSON-based configuration and request schemas, and synchronisation of hierarchical and relational data models across systems\n\nPlatform and Domain ExpertiseEnterprise data provisioning: End-to-end ownership of data-request portals using Palantir Foundry Workshop, Foundry workflow orchestration, and Python backend services targeting Snowflake and AWS\nData virtualisation and analytics integration: Output-port configuration, ownership and privilege logic, and hierarchical data-model synchronisation between source systems and downstream platforms\nIndustrial and OT data integration: Event-driven ingestion of Aveva PI process-historian data using Lambda, Snowpipe, and Snowflake, with downstream delivery through Secure Data Shares\nMulti-stage approval workflows: Role-based approval lifecycles involving requesters, data stewards, data owners, engineering teams, and business verifiers\nData access governance: Request and approval workflows, role-based access control, and self-service provisioning for business data owners\nRegulated-environment delivery: Dev-to-QA-to-production promotion workflows supporting validated and regulated, GxP-equivalent system requirements\n\nRequired Skills & Qualifications\nExperience: Typically 3 to 5+ years of hands-on experience in data engineering or cloud data warehousing.\nCore Technologies:\n Snowflake Features: Virtual warehouses, clustering, micro-partitions, Time Travel, Streams & Tasks, Snowpipe, Dynamic Tables, and Snowflake Cortex (where applicable).\nProgramming & Scripting: Expert-level SQL and strong Python (Pandas, NumPy).\nTransformation Tools: dbt (models, snapshots, tests, macros, Slim CI).\nCloud & Orchestration: Exposure to AWS, Azure, or GCP, plus tools like Apache Airflow.\nCertifications: Preferred credentials often include SnowPro Core or advanced Snowflake certifications.","description_format":"text","description_chars":3699,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription 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