{"id":2975141,"url":"https://alion.io/job/fugentex-solutions-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"D","score":53,"open_postings":117,"ghost_share":0.778,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-28T07:05:24Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-22T21:23:45Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":85},"description":"Role Summary\nWe are looking for a highly skilled Senior Data Engineer with strong hands-on experience in Python, SQL, Snowflake, Airflow, ETL/ELT, data warehousing, Fivetran, GitHub, CI/CD, API integration, and data outbound pipelines.\nThe candidate will be responsible for designing, building, optimizing, and maintaining scalable data pipelines and data warehouse solutions. The role requires strong engineering discipline, production mindset, troubleshooting ability, and experience working with modern cloud data platforms.\nThe ideal candidate should be able to work independently with architects, data modelers, business analysts, application teams, and downstream consumers to deliver reliable, secure, and high-quality data products.\n*Key Responsibilities*\nDesign, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, Airflow, Snowflake, and modern data engineering tools.\nBuild and optimize data ingestion, transformation, validation, reconciliation, and outbound data pipelines.\nDevelop reusable Python frameworks for data extraction, transformation, quality checks, API calls, file processing, logging, alerting, and error handling.\nCreate and manage Airflow DAGs for orchestration, scheduling, dependency management, retries, monitoring, and production support.\nWork extensively on Snowflake objects including databases, schemas, tables, views, streams, tasks, procedures, stages, file formats, Snowpipe, and role-based access controls.\nDevelop complex SQL queries, stored procedures, and transformation logic for data warehouse and analytics use cases.\nImplement data warehouse design patterns including staging, bronze/silver/gold layers, dimensional models, fact and dimension loading, incremental loads, CDC, SCD handling, and audit frameworks.\nIntegrate data from multiple sources using Fivetran, APIs, flat files, cloud storage, databases, and enterprise applications.\nDesign and support data outbound pipelines to send curated data to external systems, downstream applications, APIs, third-party vendors, CRM platforms, operational systems, and reporting platforms.\nSet up and maintain GitHub-based development workflows including branching strategy, pull requests, code reviews, version control, and release management.\nImplement CI/CD pipelines for automated testing, deployment, environment promotion, code quality checks, and production releases.\nCollaborate with data architects and data modelers to implement scalable and business-aligned data warehouse solutions.\nEnsure data quality through validation rules, reconciliation checks, duplicate handling, null checks, schema checks, and anomaly detection.\nMonitor data pipelines, troubleshoot failures, resolve performance bottlenecks, and support production incidents.\nDocument technical design, pipeline logic, source-to-target mappings, dependencies, operational procedures, and runbooks.\nFollow enterprise standards for security, data governance, access control, data privacy, auditability, and compliance.\nRequired Skills and Experience\nStrong hands-on experience as a Senior Data Engineer\nAdvanced SQL skills, including joins, window functions, CTEs, query optimization, analytical SQL, stored procedures, and performance tuning.\nStrong Python programming skills for data engineering, automation, API integration, file processing, and framework development.\nHands-on experience with Airflow for workflow orchestration, DAG development, monitoring, retries, scheduling, and production operations.\nStrong experience with Snowflake including data loading, transformation, performance optimization, warehouse sizing, RBAC, stages, streams, tasks, and Snowpipe.\nStrong understanding of ETL/ELT design patterns, data integration, batch processing, incremental loading, CDC, and data reconciliation.\nExperience working with Fivetran or similar ingestion tools for source system replication and pipeline management.\nExperience with GitHub, version control, branching, pull requests, code reviews, and release management.\nHands-on experience with CI/CD pipelines for data engineering deployments.\nExperience building and consuming REST APIs for data ingestion and outbound data exchange.\nGood understanding of data warehousing concepts, including dimensional modeling, facts, dimensions, SCD Type 1/2, surrogate keys, and layered data architecture.\nExperience in production support, pipeline monitoring, logging, alerting, and failure recovery.\nStrong debugging and problem-solving skills across SQL, Python, orchestration, and data platform layers.\nGood to Have\nExperience with cloud platforms such as Azure\nExperience with, Coalesce, or DBT or similar transformation tools.\nExperience with API authentication patterns such as OAuth2, JWT, API keys, basic authentication, and token refresh.\nExperience with data governance, metadata management, data lineage, and data cataloging tools.\nGood to have Experience with containerization, Docker, Kubernetes, or serverless data workloads.\nGood to have Exposure to real-time or near-real-time data pipelines using Kafka, Event Hub, streams, or message queues.\nKey Technical Areas\nPython data engineering\nAdvanced SQL development\nSnowflake development and optimization\nAirflow DAG orchestration\nETL/ELT pipeline development\nFivetran ingestion management\nData warehouse implementation\nAPI-based data integration\nOutbound data pipelines\nGitHub and CI/CD deployment\nData quality and reconciliation\nProduction monitoring and support\nExpected Deliverables\nProduction-ready ETL/ELT pipelines\nReusable Python data engineering components\nAirflow DAGs and orchestration workflows\nSnowflake tables, views, procedures, streams, tasks, and loading frameworks\nSource-to-target mapping implementation\nData quality and reconciliation checks\nOutbound data feeds and API integrations\nCI/CD deployment pipelines\nTechnical design documents and runbooks\nPipeline monitoring, logging, and alerting setup\nQualifications\nBachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.\nMinimum 6+ years of experience in data engineering, ETL/ELT development, SQL, and data warehousing.\nMinimum 3+ years of hands-on experience with Python and cloud data platforms.\nStrong communication skills and ability to work with 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