{"id":3963038,"url":"https://alion.io/job/neoware-technology-solutions-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3801120,"name":"Neoware Technology Solutions","domain":"neoware.ai","url":"https://alion.io/company/neoware-technology-solutions","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":"middle","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","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EKS","optional":true},{"name":"API Gateway","optional":true},{"name":"Kubernetes","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-09T12:04:37Z","employer_posted_date":null,"last_verified_at":"2026-11-09T12:04:37Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Description:\n\nAs a Data Engineer, you will be part of a dynamic team of data engineers and being responsible for technical design, implementation, optimizing and maintenance of data engineering solution components for our customers. Your will be required to have strong hands-on experience in implementing complex data engineering solutions on AWS, with a good understanding of data warehouse, data lake and lake-house architecture patterns.\n\nRequirements:\n\n- 3+ years of hands-on experience in design, development and implementation of data engineering solutions\n\n- Good understanding of database concepts and strong hands-on experience in SQL development, including performance tuning and query optimization\n\n- Good understanding of programming concepts with Python\n\n- Strong hands-on experience in implementing data pipelines using PySpark or Spark Scala\n\n- Hands-on experience with Databricks, including development, optimization, and management of large-scale data processing and analytics workload\n\n- Must have an understanding of streaming data pipelines for near real-time analytics\n\n- Hands-on experience and good understanding of AWS services for data engineering, including AWS Glue, Lambda, Step 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