{"id":983385,"url":"https://alion.io/job/premji-invest-senior-data-engineer","title":"Senior Data Engineer","company":{"id":703879,"name":"Premji Invest","domain":"premjiinvest.com","url":"https://alion.io/company/premji-invest","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"Flink","optional":true},{"name":"GitLab CI","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2024-12-03T00:00:00Z","employer_posted_date":"2024-12-03","last_verified_at":"2026-11-05T19:58:18Z","board_verified":true,"closed_at":null,"days_open":702,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":702},"description":"About the Role : We are seeking a highly motivated and talented Data Engineer to join our team. This is a work from office role, where you will play a crucial role in designing, building, and maintaining robust and scalable data pipelines to support our investment research and analysis.Requirements Experience: Minimum 3+yrs, though about 4~7yrs is preferred. Skills: Experience in design, develop, and maintain data pipelines using industry-standard tools and technologies (e.g., Airflow, Apache Spark, etc.) Proficiency in working with structured (SQL) and unstructured data. Experience in data warehousing and data lakes. Experience with Azure Databricks (ADB), PySpark. Experience with any cloud such as Microsoft Azure, AWS or GCP. Strong proficiency in Python. Optional Skills: Experience with Kubernetes. Experience with Azure Data Factory (ADF). Experience with Kafka. Experience with Apache Flink. Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI). Interview Process:\nBenefits Be part of a vibrant, high-impact team transforming the future of investments through technology and innovation. Work on challenging and rewarding projects with cutting-edge tools and a diverse, talented team. Enjoy a collaborative, inclusive workplace that fosters growth and creativity. Competitive salary. 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