{"id":4196617,"url":"https://alion.io/job/ada-global-data-engineer","title":"Data Engineer","company":{"id":3122788,"name":"ADA Global","domain":"adaglobal.com","url":"https://alion.io/company/adaglobal-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Darwinbox","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-12T20:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T20:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"As a Data Engineer, you will work on building, testing, and maintaining data pipelines and connectors that integrate data from various sources (APIs, databases, files, SaaS applications) into the data platform. You will be trained and mentored to work on scalable, reliable, and high-quality data ingestion systems.\n\nThis role is ideal for candidates who want to build a strong foundation in Data Engineering, ETL, APIs, and large-scale data systems.\n\nKey Responsibilities:\nAssist in developing and maintaining data connectors and ingestion pipelines for different data sources (APIs, databases, files, SaaS tools).\nWork on extracting, transforming, and loading (ETL/ELT) data into the data platform.\nUnderstand source system schemas, APIs, and data formats (JSON, CSV, relational tables).\nImplement basic data transformations, validations, and checks to ensure data quality and reliability.\nWrite clean, maintainable, and testable code under guidance from senior engineers.\nPerform unit testing and basic integration testing of data pipelines and connectors.\nHelp in debugging data issues, pipeline failures, and sync issues.\nContribute to documentation of connectors, pipelines, and operational runbooks.\nUse Git and CI/CD pipelines for code versioning and deployments.\nFollow engineering best practices, coding standards, and data governance guidelines.\nCollaborate with senior data engineers, QA, and product teams.\n\nRequired Skills & Qualifications:\nBachelor's degree in computer science, IT, Engineering, or related field.\nBasic to good knowledge of Python and SQL.\nBasic understanding of Data Engineering concepts: ETL, data pipelines, data warehousing.\nFamiliarity with REST APIs and working with JSON / CSV data.\nBasic understanding of databases (MySQL, Postgres, or similar).\nAwareness of Git / version control systems.\nWillingness to learn debugging, monitoring, and production support for data pipelines.\nGood problem-solving attitude and attention to detail.\nGood communication skills and eagerness to learn.\n\nGood to Have (Not Mandatory):\nExposure to PySpark / Spark / Databricks / EMR.\nBasic understanding of cloud platforms (AWS/Azure/GCP).\nKnowledge of CI/CD concepts.\nInternship or academic project in Data Engineering / Backend / ETL.\nBasic understanding of data modelling and data warehousing.\nSkills\nData Warehousing, ELT, ETL, Python, SQL","description_format":"text","description_chars":2360,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-11-12T20:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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