{"id":1392023,"url":"https://alion.io/job/srivango-technologies-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3808107,"name":"Srivango Technologies","domain":"srivango.com","url":"https://alion.io/company/srivango-technologies","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":["Hyderabad, India","Pune, India","Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"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":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T11:02:58Z","employer_posted_date":null,"last_verified_at":"2026-09-28T11:02:58Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Overview :\n\nWe are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on AWS. The ideal candidate should have strong expertise in data engineering, ETL/ELT, Python, SQL, and AWS data services, with experience working on large-scale data processing environments.\n\nKey Responsibilities :\n\n- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.\n\n- Build and optimize data ingestion, transformation, and processing pipelines from structured and unstructured data sources.\n\n- Develop data solutions using AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, Kinesis, and Step Functions.\n\n- Develop and maintain data warehouses, data lakes, and lakehouse solutions on AWS.\n\n- Write efficient and optimized SQL and Python code for data processing and transformation.\n\n- Implement data quality, validation, monitoring, and error-handling mechanisms.\n\n- Optimize data pipelines and queries for performance, scalability, and cost efficiency.\n\n- Integrate data from multiple sources including databases, APIs, applications, and external systems.\n\n- Work with architects, data scientists, analysts, and business stakeholders to understand data requirements.\n\n- Implement security, access controls, encryption, and governance across AWS data environments.\n\n- Troubleshoot pipeline failures, data issues, and production incidents.\n\n- Develop automated workflows and deployment processes using CI/CD and Infrastructure as Code practices.\n\n- Maintain technical documentation for data pipelines, architecture, data models, and processes.\n\nRequired Skills & Experience :\n\n- Strong experience as an AWS Data Engineer or in a similar data engineering role.\n\n- Hands-on experience with AWS data and analytics services.\n\n- Strong proficiency in Python and SQL.\n\n- Experience with AWS Glue, S3, Redshift, Athena, and Lambda.\n\n- Strong understanding of ETL/ELT concepts and data pipeline architecture.\n\n- Experience with data warehousing, data lakes, and large-scale data processing.\n\n- Good understanding of relational and NoSQL databases.\n\n- Experience with data modeling, data transformation, and data integration.\n\n- Knowledge of AWS IAM, security, networking, and access-control concepts.\n\n- Experience with Git and CI/CD practices.\n\n- Strong problem-solving and analytical skills.\nSkills\nAWS, Data Engineering, Data Pipeline, ETL, SQL, Python, AWS Lambda, Data Warehousing, AWS Glue","description_format":"text","description_chars":2490,"description_truncated":false,"requirements":{"experience_years_min":6,"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":[],"lifecycle":[{"event":"open","at":"2026-09-28T12:01:18Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["seen:0","win:early"],"computed_at":"2026-09-29T04:05:11Z"},"pay":null,"html_url":"https://alion.io/job/srivango-technologies-aws-data-engineer","json_url":"https://alion.io/job/srivango-technologies-aws-data-engineer.json","meta":{"generated_at":"2026-09-29T04:05:11Z","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":3838,"day_limit":5000,"remaining_today":1162,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}