{"id":3384248,"url":"https://alion.io/job/synergy-technologies-senior-data-engineer-snowflakeetl","title":"Senior Data Engineer - Snowflake/ETL","company":{"id":3809001,"name":"Synergy Technologies","domain":"synergytechs.net","url":"https://alion.io/company/synergy-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-10-28T06:24:48Z","employer_posted_date":null,"last_verified_at":"2026-10-28T06:24:48Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role : Senior Data Engineer - Snowflake & AI Data Solutions.\n\nExperience : 8+ Years.\n\nEmployment Type : Full-Time.\n\nAbout the Role : \n\nSyntec Systems is looking for an experienced Senior Data Engineer with strong SQL, Python, Snowflake, and cloud data engineering skills. The candidate will lead the development of scalable data pipelines, enterprise data transformation solutions, and AI-ready data workflows using AWS services.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows.\n\n- Write, optimize, and troubleshoot complex SQL queries.\n\n- Develop Python scripts for data processing, automation, and integration.\n\n- Design and implement data solutions using Snowflake, including data loading, transformation, and performance optimization.\n\n- Integrate data from relational databases, REST APIs, CSV, JSON, and other enterprise sources.\n\n- Implement data cleansing, validation, reconciliation, and data quality processes.\n\n- Work with AWS services such as S3, Lambda, and Glue to support cloud-based data solutions.\n\n- Prepare structured and unstructured data for Generative AI applications, knowledge assistants, and RAG workflows.\n\n- Collaborate with Go/backend developers, architects, and technical leads to integrate data pipelines with application APIs.\n\n- Lead technical problem-solving, code reviews, performance tuning, and best practices.\n\n- Support POCs, testing, documentation, and client demonstrations.\n\nTech Stack : \n\n- SQL, Python, Snowflake, AWS (S3, Lambda, Glue, IAM), Git, dbt, Airflow, REST APIs, JSON, Generative AI, LLMs, RAG.\n\nRequired Skills : \n\n- 8+ years of experience in Data Engineering, ETL development, or a related field.\n\n- Strong expertise in SQL and Python programming.\n\n- Extensive experience building and maintaining ETL/ELT pipelines.\n\n- Strong understanding of data modeling, data warehousing, and data quality.\n\n- Experience with relational databases, data integration, and pipeline troubleshooting.\n\n- Good knowledge of Git, debugging, performance optimization, and software development practices.\n\nSkills\nData Engineering, Snowflake DB, Artificial Intelligence, LLM, ETL, Workflows, SQL, Python, Data Pipeline, 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