{"id":4227556,"url":"https://alion.io/job/technogen-data-engineer-informaticasnowflake","title":"Data Engineer - Informatica/Snowflake","company":{"id":3800111,"name":"TechnoGen","domain":"technogenindia.com","url":"https://alion.io/company/technogen","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"Informatica","optional":false},{"name":"MS SQL","optional":false},{"name":"NumPy","optional":false},{"name":"Oracle","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T08:09:38Z","employer_posted_date":null,"last_verified_at":"2026-11-13T08:09:38Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role : \n\nWe are looking for an experienced Data Engineer with strong expertise in ETL/ELT development, Informatica, SQL, Python, and cloud-based data platforms. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, managing data integration processes, and supporting enterprise data warehousing initiatives.\n\nKey Responsibilities : \n\n- Design, develop, and maintain ETL/ELT pipelines using Informatica PowerCenter, IICS, and IDMC.\n\n- Develop and optimize data extraction, transformation, and loading processes.\n\n- Write and optimize complex SQL and PL/SQL queries.\n\n- Work with Oracle and Microsoft SQL Server databases.\n\n- Develop and maintain data warehouse solutions using Snowflake.\n\n- Utilize AWS services (EC2, S3, IAM, Lambda, EFS) for cloud-based processing.\n\n- Develop Python scripts for automation and data processing using Pandas and NumPy.\n\n- Perform data profiling, cleansing, and validation.\n\n- Monitor pipeline performance and troubleshoot failures.\n\n- Leverage AI-assisted development tools (LLMs, RAG, embeddings) to enhance productivity.\n\nRequired Skills : \n\n- 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