{"id":1230278,"url":"https://alion.io/job/inumellas-consultancy-services-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3801175,"name":"Inumellas Consultancy Services","domain":"inumellas.com","url":"https://alion.io/company/inumellas-consultancy-services","size_band":null,"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":["Bengaluru, India","Hyderabad, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-19T09:48:01Z","employer_posted_date":null,"last_verified_at":"2026-09-19T09:48:01Z","board_verified":false,"closed_at":null,"days_open":25,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":25},"description":"Job Description :\n\nCompany is seeking a highly skilled and motivated Snowflake Data Engineer to join our dynamic team. As a leading data analytics firm, we are committed to delivering innovative solutions and insights to our clients. The ideal candidate will have a strong background in data engineering, with a focus on Snowflake and cloud data warehousing.\n\nResponsibilities :\n\n- Design, develop, and maintain data pipelines in Snowflake to facilitate data ingestion, transformation, and storage.\n\n- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions that meet business needs.\n\n- Optimize ETL processes for performance, scalability, and reliability within the Snowflake environment.\n\n- Monitor and troubleshoot data pipeline issues, ensuring data quality and availability.\n\n- Implement best practices for data modeling, database design, and data governance.\n\n- Stay updated on the latest trends and technologies in data engineering and cloud computing, particularly within the Snowflake ecosystem.\n\n- Document technical processes and maintain data dictionaries to ensure knowledge sharing within the team.\n\nQualifications :\n\n- Bachelor's degree in computer science, Information Technology, or a related field.\n\n- Proven experience as a Data Engineer, with a focus on Snowflake and data warehousing.\n\n- Strong proficiency in SQL and experience with ETL tools and data transformation techniques.\n\n- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.\n\n- Knowledge of programming languages such as Python or Java is a plus.\n\n- Excellent problem-solving skills and attention to detail.\n\n- Strong communication and collaboration skills to work effectively in a team environment.\n\nWhat We Offer :\n\n- Competitive salary and benefits package.\n\n- Opportunity to work with a talented and innovative team.\n\n- Exposure to cutting-edge technologies and tools in the data engineering field.\n\n- A flexible and supportive work environment that encourages professional growth.\nSkills\nData Engineering, Snowflake DB, Data Pipeline, ETL, SQL, ETL Tools, AWS, Data 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