{"id":3605078,"url":"https://alion.io/job/wipro-aws-data-engineer","title":"AWS Data Engineer","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS Lambda","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-11-02T11:21:08Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T00:13:07Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description\nWe are looking for Data engineers with 6 to 12 years’ experience with the below skills\nMandatory Skills:\nExcellent understanding and design experience of Big Data platform, Data Lake, Lakehouse architecture, Medallion architecture and modern data architecture.\nExcellent in SQL/PL-SQL scripting in columnar database\nExcellent Data Modelling experience\nStrong skills in Redshift, SQL, PL-SQL, Glue, PySpark, Spark, S3, Shell scripting\nStrong skills in Airflow, Kinesis, Step function and related ETL-DW data services\nDevelop, enhance & optimize data pipelines using AWS service, custom ETL tools and automating data pipelines.\nExperience in code deployment in various environments\nDesigning job scheduling, optimizing airflow job orchestration, designing batch/stream monitoring in systems, usage tracking etc. Excellent implementation skills in AWS tech stack, ETL & ELT, DW BI, EMR, S3, SQS, Step function, Lambda, Scala.\nMandatory Skills: Data Engineering Full Stack.Experience: 8-10 Years\n.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. 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