{"id":1285837,"url":"https://alion.io/job/xohani-solutions-pvt-ltd-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3801104,"name":"Xohani Solutions Pvt. Ltd.","domain":"xohani.com","url":"https://alion.io/company/xohani-solutions-pvt-ltd","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":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India","Pune, India","Hyderabad, India","Chennai, India","Coimbatore, India","India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":57},"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":"Apache Kafka","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":"IAM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CloudFormation","optional":true},{"name":"Git","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-12T04:13:17Z","employer_posted_date":null,"last_verified_at":"2026-08-12T04:13:17Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"AWS Data Engineer\n\nLocation: Bangalore / Pune / Hyderabad / Bhubaneswar / Chennai / Coimbatore\n\nExperience: 6+ Years\n\nWork Mode: Hybrid\n\nNotice Period: Immediate Joiners to 30 Days preferred\n\nAbout the Role:\n\nWe are looking for experienced AWS Data Engineers to design, develop and maintain scalable data engineering solutions on AWS. The ideal candidate should have strong hands-on experience in building data pipelines, ETL/ELT workflows and cloud-based data platforms.\n\nKey Responsibilities:\n\n- Design, build and maintain scalable data pipelines on AWS.\n\n- Develop ETL/ELT workflows using AWS Glue, Lambda, EMR and Step Functions.\n\n- Build data ingestion solutions using Kinesis, Kafka or SQS.\n\n- Design and optimize data lakes using Amazon S3, Glue Data Catalog and Lake Formation.\n\n- Develop and optimize data warehouse solutions using Amazon Redshift / Snowflake.\n\n- Implement data quality checks, monitoring, logging and production support processes.\n\n- Develop data transformation solutions using Python/PySpark and SQL.\n\n- Work with large datasets and distributed data processing frameworks.\n\n- Collaborate with data architects, analytics teams and business stakeholders.\n\n- Support CI/CD deployments and contribute to automation and DevOps practices.\n\n- Troubleshoot production issues and ensure reliable data pipelines.\n\nMust-Have Skills:\n\n- 6+ years of experience in Data Engineering.\n\n- Strong hands-on experience with AWS Glue, S3, Lambda, IAM and Step Functions.\n\n- Strong programming experience in Python / PySpark.\n\n- Strong SQL and data transformation skills.\n\n- Experience with Redshift, Athena and Glue Data Catalog.\n\n- Good understanding of Apache Spark / EMR / Glue.\n\n- Strong understanding of data lakes, data warehousing and data modeling.\n\n- Experience working with cloud-based data pipelines and ETL/ELT processes.\n\nGood to Have:\n\n- Experience with Terraform or CloudFormation.\n\n- Knowledge of Kinesis, Kafka or SQS.\n\n- Experience with CI/CD and Git.\n\n- Exposure to Snowflake.\n\n- Experience with data governance and data quality frameworks.\n\nEducation:\n\nB.E / B.Tech or equivalent qualification.\n\nSkills\nData Engineering, AWS, ETL, Python, SQL, Snowflake DB, SQS","description_format":"text","description_chars":2188,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain"],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.506,"p_room":0.45,"age_days":50,"expected_fill_days":30,"reasons":["seen:50","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/xohani-solutions-pvt-ltd-aws-data-engineer","json_url":"https://alion.io/job/xohani-solutions-pvt-ltd-aws-data-engineer.json","meta":{"generated_at":"2026-10-01T08:01:48Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}