{"id":3749817,"url":"https://alion.io/job/flipkart-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2722,"name":"Flipkart","domain":"flipkart.com","url":"https://alion.io/company/flipkart","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"TurboHire","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T14:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-04T14:35:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Work on large-scale data engineering problems involving data modelling, ETL pipelines, data warehousing, orchestration, and performance optimisation. You'll collaborate with engineering, analytics, infrastructure, and business teams to build scalable data solutions that directly support business decision-making and revenue initiatives.\n\nResponsibilities: \nPartner with technical and non-technical stakeholders to understand data, reporting, and business requirements.\nWork with engineering teams to collect and integrate data from internal and external systems.\nDesign scalable and performant data models, including dimensional modelling and database normalisation.\nDesign and develop robust ETL/ELT pipelines and define appropriate data integration strategies.\nDevelop and maintain ETL workflows using orchestration tools such as Apache Airflow.\nBuild and implement automated Data Quality checks to ensure accuracy, consistency, and reliability of data.\nWork with relational databases and distributed data systems such as Snowflake or Amazon Redshift.\nPerform advanced SQL and ETL performance tuning to optimise data processing and query performance.\nWork with technologies such as Python, PySpark, Spark, Databricks, Snowflake or EMR for large-scale data processing.\nImplement database deployments and schema changes using tools such as Schema Change.\nBuild and report on business KPIs and metrics within data warehousing environments.\nPerform ad hoc data analysis and support business teams with data-driven insights.\nParticipate in Agile/Scrum ceremonies and collaborate closely with cross-functional engineering and analytics teams.\n\nRequirements: \n5+ years of experience in Data Engineering with strong hands-on experience building data pipelines and data warehouse solutions.\nStrong understanding of data modelling principles, including dimensional modelling and normalisation.\nStrong SQL expertise with the ability to analyse and optimise complex queries and data workloads.\nStrong analytical and problem-solving skills with the ability to translate business requirements into scalable data solutions.\nSkills\nAirflow, 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