{"id":2776327,"url":"https://alion.io/job/quest-global-senior-data-engineer","title":"Senior Data Engineer","company":{"id":59490,"name":"Quest Global","domain":"questglobal.com","url":"https://alion.io/company/quest-global","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":"senior","employment_type":"full_time","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":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"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":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-08T18:28:10Z","employer_posted_date":null,"last_verified_at":"2026-10-08T18:28:10Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Job Title: Data Engineer\nLocation: Hyderabad\nExperience: 5+Years\n\nJob Summary:\nWe are looking for a skilled and experienced Data Engineer with over 5 years of experience in data engineering and data migration projects. The ideal candidate should possess strong expertise in SQL, Python, data modeling, data warehousing, and ETL pipeline development. Experience with big data tools like Hadoop and Spark, along with AWS services such as Redshift, S3, Glue, EMR, and Lambda, is essential. This role provides an excellent opportunity to work on large-scale data solutions, enabling data-driven decision-making and operational excellence.\n\nKey Responsibilities:\n• Design, build, and maintain scalable data pipelines and ETL processes.\n• Develop and optimize data models and data warehouse architectures.\n• Implement and manage big data technologies and cloud-based data solutions.\n• Perform data migration, data transformation, and integration from multiple sources.\n• Collaborate with data scientists, analysts, and business teams to understand data needs and deliver solutions.\n• Ensure data quality, consistency, and security across all data pipelines and storage systems.\n• Optimize performance and manage cost-efficient AWS cloud resources.\n\nBasic Qualifications:\n• Master's degree in computer science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent.\n• 5+ years of experience in Data Engineering and data migration projects.\n• Proficient in SQL and 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