{"id":4028441,"url":"https://alion.io/job/paltech-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3808934,"name":"PalTech","domain":"pal.tech","url":"https://alion.io/company/paltech-2","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":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS 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and reliability across data platforms.\nCollaborate with cross-functional teams to understand and deliver business requirements.\nMonitor, troubleshoot, and support production data workflows.\n\nRequired Skills:\nStrong experience with Python and PySpark.\nStrong expertise of optimizations.\nHands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, and DynamoDB.\nStrong SQL and data analysis skills.\nExperience building and optimizing large-scale data pipelines.\nGood understanding of data warehousing and data lake concepts.\n\nGood to Have:\nExperience with Git and CI/CD pipelines.\nKnowledge of Infrastructure as Code (Terraform or CloudFormation).\nExperience with data quality and data governance frameworks.\nAWS certifications.\nExposure to real-time or event-driven data processing solutions.\nSkills\nAWS, ELT, ETL, PySpark, Python, 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