{"id":1227231,"url":"https://alion.io/job/incedo-aws-data-engineer","title":"AWS Data Engineer","company":{"id":177799,"name":"Incedo","domain":"incedoinc.com","url":"https://alion.io/company/incedo","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T07:17:11Z","employer_posted_date":null,"last_verified_at":"2026-09-25T07:17:11Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"About the Role : \n\nWe are looking for an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and data processing solutions on AWS. The ideal candidate should have strong hands-on experience with AWS Glue, Python, PySpark, Lambda, Snowflake, DBT, and SQL, along with a good understanding of modern data engineering practices.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable and reliable data pipelines using AWS services.\n\n- Build and optimize ETL/ELT workflows using AWS Glue, Python, and PySpark.\n\n- Develop serverless data processing and automation solutions using AWS Lambda.\n\n- Work with Snowflake for data storage, transformation, and analytics workloads.\n\n- Develop and manage data transformation workflows using DBT.\n\n- Write complex and optimized SQL queries for data extraction, transformation, and analysis.\n\n- Perform data cleansing, validation, transformation, and integration from multiple sources.\n\n- Optimize data pipelines for performance, scalability, reliability, and cost efficiency.\n\n- Collaborate with Data Analysts, Data Scientists, Architects, and other engineering teams to understand data requirements.\n\n- Troubleshoot data pipeline failures and resolve data quality and performance issues.\n\n- Follow best practices around data security, governance, monitoring, and documentation.\n\nTech Stack & Skills : \n\n- AWS Data Engineering, AWS Glue, Python, PySpark, AWS Lambda, Snowflake, DBT, SQL, ETL/ELT, Data Warehousing.\n\nGood to Have : \n\n- Experience with additional AWS services such as S3, Athena, Redshift, CloudWatch, or Step Functions.\n\n- Knowledge of CI/CD and version-control practices using Git.\n\n- Understanding of data quality, monitoring, and governance frameworks.\n\n- Experience working in Agile/Scrum environments.\n\nSkills\nAWS, AWS Glue, Python, PySpark, SQL, ETL, Data Warehousing, Data Engineering, Snowflake DB","description_format":"text","description_chars":1900,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.862,"p_room":1,"age_days":5,"expected_fill_days":24,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/incedo-aws-data-engineer","json_url":"https://alion.io/job/incedo-aws-data-engineer.json","meta":{"generated_at":"2026-10-02T00:22:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":233,"day_limit":5000,"remaining_today":4767,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}