{"id":3176876,"url":"https://alion.io/job/flexiple-data-engineer","title":"Data Engineer","company":{"id":59377,"name":"Flexiple","domain":"flexiple.com","url":"https://alion.io/company/flexiple","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":30000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Dagster","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:36:36Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:36:36Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Data Engineer\nA global bank standing up its India technology and operations centre\nLocation: Remote (India)\nAbout the Company\nA global bank is standing up its India technology and operations centre and has partnered with Flexiple to hire a data engineer to build its data infrastructure. You will make sure the right data reaches the right teams, reliably and on time. Flexiple is a managed marketplace that helps global companies build high-performing teams and GCCs in India.\nRole Overview\nAs a Data Engineer, you will design, build, and maintain the pipelines and warehouses that turn raw data into a resource the business can trust.\nKey Responsibilities\nPipeline Development\nDesign and build ETL/ELT pipelines that move data from source systems to the warehouse\nModel data for analytics and reporting use cases\nOptimise pipeline performance and manage compute and storage costs\nData Quality & Governance\nBuild validation and monitoring so pipeline failures surface immediately\nDocument data lineage, schemas, and definitions for downstream users\nPartner with analytics and product teams on their data requirements\nIdeal Candidate Profile\n2 to 6 years building data pipelines or warehouse infrastructure\nStrong SQL skills plus experience with Python or Scala for pipeline development\nExperience with a modern data warehouse (Snowflake, BigQuery, or Redshift)\nClear written and spoken English and a reliable remote-work setup\nPreferred Qualifications\nExperience with orchestration tools (Airflow, Dagster, or Prefect)\nExposure to streaming systems (Kafka, Kinesis) and real-time pipelines\nA degree in computer science, statistics, or a related field\nWhat We Offer\nA data engineer seat at a global bank's India technology centre\nRemote-friendly, pan-India hiring with long-term placement\nOwnership of the data infrastructure every downstream team depends on\nOne application considered for this and future matched roles\nHiring Process\nHR Screening → Technical Assessment → Technical Round 1 → Technical Round 2 → Culture 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