{"id":3575163,"url":"https://alion.io/job/anblicks-data-engineer","title":"Data Engineer","company":{"id":2303504,"name":"Anblicks","domain":"anblicks.com","url":"https://alion.io/company/anblicks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"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":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-31T17:38:42Z","employer_posted_date":null,"last_verified_at":"2026-10-31T17:38:42Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Job Role: Data Engineer\n\nLocation: Hyderabad, India\n\nExperience: 3+ Years\n\nPosition Overview\n\nAnblicks is seeking a motivated and technically skilled Data Engineer to design, develop, and maintain reliable data pipelines that transform large volumes of data into high-quality, scalable, and analytics-ready datasets. The ideal candidate will have hands-on experience with SQL, Python, ETL/ELT development, and modern cloud data platforms.\n\nYou will collaborate with senior engineers, Data Scientists, and cross-functional teams to integrate data from multiple sources, implement data quality checks, optimize pipeline performance, and ensure data reliability, security, and governance. The role also offers opportunities to work with modern data engineering practices, cloud technologies, and emerging AI-assisted development tools.\n\nDuties And Responsibilities\n\nDesign, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, standardize, and process data from multiple sources.\nWrite efficient SQL queries and develop data processing solutions using Python, Scala, Java, or other relevant programming languages.\nImplement data validation, quality checks, monitoring, and error-handling mechanisms to ensure data accuracy and reliability.\nIntegrate data from external systems, partner platforms, APIs, and structured or semi-structured data sources.\nWork with cloud and data platforms such as Snowflake, Databricks, and AWS to build and maintain data processing workflows.\nSupport data modeling, transformation, and preparation activities to make data available for analytics, reporting, and machine learning use cases.\nIdentify and troubleshoot data pipeline failures, performance bottlenecks, and data inconsistencies.\nFollow data security, privacy, access control, and governance practices while handling sensitive or business-critical data.\nCollaborate with Data Engineers, Data Scientists, and other stakeholders to understand requirements and deliver reliable data solutions.\nMaintain technical documentation, pipeline specifications, operational runbooks, and data lineage information.\nUse orchestration tools and, where applicable, streaming technologies to automate and manage data workflows.\nExplore AI-assisted development tools to improve productivity while validating generated code for accuracy, security, and maintainability.\n\nQualifications\n\nRequired Qualifications\n\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.\n2+ years of hands-on experience in Data Engineering, ETL/ELT development, or a related data-focused role.\nStrong proficiency in SQL, including complex queries, joins, aggregations, and query optimization.\nHands-on experience with at least one programming language, preferably Python, Scala, or Java.\nExperience developing, maintaining, or troubleshooting ETL/ELT data pipelines.\nFamiliarity with cloud platforms and modern data technologies such as Snowflake, Databricks, or AWS.\nUnderstanding of data modeling, data transformation, data quality, and pipeline monitoring.\nBasic knowledge of data security, privacy, and governance practices.\nStrong analytical, problem-solving, communication, and collaboration skills.\n\nPreferred Qualifications\n\nExposure to identity resolution, entity matching, record linkage, graph-based data processing, or graph databases.\nExperience in integrating external data sources through APIs, partner feeds, or third-party platforms.\nFamiliarity with workflow orchestration tools such as Apache Airflow or similar technologies.\nExposure to streaming and event-processing technologies such as Apache Kafka or AWS Kinesis.\nFamiliarity with data clean rooms, privacy-preserving data processing, or consent-based data handling.\nExperience working in data-driven product environments, preferably in AdTech, MarTech, or digital analytics.\nExposure to full-stack development, including front-end and back-end technologies, beyond core data engineering.\nFamiliarity with LLMs, RAG, MCP, and AI-assisted development tools such as GitHub Copilot or Claude Code.\nUnderstanding of best practices for validating AI-generated code and using AI-assisted development workflows responsibly.","description_format":"text","description_chars":4197,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Analytics & 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