{"id":1621305,"url":"https://alion.io/job/exl-data-engineer-4","title":"Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":69,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","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":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"CloudFormation","optional":true},{"name":"Databricks","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-24T04:48:54Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-20T06:32:37Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Job Title: Senior Data Engineer / Analytics Engineer\nExperience\n8+ Years\nLocation\nFlexible / Hybrid / Remote\nJob Summary\nWe are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.\nBuild and manage data transformation frameworks using dbt.\nDevelop high-performance data models and optimize complex SQL queries.\nImplement data ingestion and integration processes from multiple data sources.\nLeverage AWS services to build cloud-native data solutions.\nEnsure data quality, governance, security, and compliance across data platforms.\nCollaborate with business stakeholders to understand requirements and convert them into technical solutions.\nCreate reusable data models, documentation, and best practices.\nMonitor and troubleshoot production data pipelines to ensure reliability and performance.\nMentor junior team members and participate in code reviews and architectural discussions.\nSupport BI and reporting initiatives by providing curated and trusted datasets.\nRequired Skills\nSQL\nAdvanced SQL development and performance tuning.\nExpertise in data modeling, query optimization, and database design.\nExperience working with large-scale relational and analytical databases.\ndbt\nStrong experience in developing and maintaining dbt projects.\nCreating incremental models, snapshots, tests, macros, and documentation.\nUnderstanding of CI/CD integration and deployment practices for dbt.\nAWS\nHands-on experience with:\nAmazon S3\nAWS Glue\nAWS Lambda\nAmazon Redshift\nAWS Athena\nIAM and Security Best Practices\nCloudWatch Monitoring\nEventBridge / Step Functions (preferred)\nPython\nStrong development experience using Python for data engineering and automation.\nExpertise with Pandas, NumPy, and API integrations.\nExperience building scalable data processing frameworks.\nAdditional Technical Skills\nExperience with ETL/ELT frameworks.\nKnowledge of data warehousing concepts and dimensional modeling.\nExposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.\nExperience with Airflow or other workflow orchestration tools is preferred.\nFamiliarity with Agile/Scrum methodologies.\nSoft Skills\nStrong verbal and written communication skills.\nAbility to interact confidently with business stakeholders and leadership teams.\nExcellent problem-solving and analytical thinking capabilities.\nExperience leading technical discussions and solution design workshops.\nStrong collaboration and mentoring skills.\nPreferred Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.\nAWS Certification (Associate or Professional level) preferred.\nExperience in modern cloud data platforms and analytics ecosystems.\nNice to Have\nSnowflake\nDatabricks\nPower BI or Tableau\nData Governance and Data Quality frameworks\nInfrastructure as Code (Terraform/CloudFormation)\nJob Title: Senior Data Engineer / Analytics Engineer\nExperience\n8+ Years\nLocation\nFlexible / Hybrid / Remote\nJob Summary\nWe are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.\nBuild and manage data transformation frameworks using dbt.\nDevelop high-performance data models and optimize complex SQL queries.\nImplement data ingestion and integration processes from multiple data sources.\nLeverage AWS services to build cloud-native data solutions.\nEnsure data quality, governance, security, and compliance across data platforms.\nCollaborate with business stakeholders to understand requirements and convert them into technical solutions.\nCreate reusable data models, documentation, and best practices.\nMonitor and troubleshoot production data pipelines to ensure reliability and performance.\nMentor junior team members and participate in code reviews and architectural discussions.\nSupport BI and reporting initiatives by providing curated and trusted datasets.\nRequired Skills\nSQL\nAdvanced SQL development and performance tuning.\nExpertise in data modeling, query optimization, and database design.\nExperience working with large-scale relational and analytical databases.\ndbt\nStrong experience in developing and maintaining dbt projects.\nCreating incremental models, snapshots, tests, macros, and documentation.\nUnderstanding of CI/CD integration and deployment practices for dbt.\nAWS\nHands-on experience with:\nAmazon S3\nAWS Glue\nAWS Lambda\nAmazon Redshift\nAWS Athena\nIAM and Security Best Practices\nCloudWatch Monitoring\nEventBridge / Step Functions (preferred)\nPython\nStrong development experience using Python for data engineering and automation.\nExpertise with Pandas, NumPy, and API integrations.\nExperience building scalable data processing frameworks.\nAdditional Technical Skills\nExperience with ETL/ELT frameworks.\nKnowledge of data warehousing concepts and dimensional modeling.\nExposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.\nExperience with Airflow or other workflow orchestration tools is preferred.\nFamiliarity with Agile/Scrum methodologies.\nSoft Skills\nStrong verbal and written communication skills.\nAbility to interact confidently with business stakeholders and leadership teams.\nExcellent problem-solving and analytical thinking capabilities.\nExperience leading technical discussions and solution design workshops.\nStrong collaboration and mentoring skills.\nPreferred Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.\nAWS Certification (Associate or Professional level) preferred.\nExperience in modern cloud data platforms and analytics ecosystems.\nNice to Have\nSnowflake\nDatabricks\nPower BI or Tableau\nData Governance and Data Quality frameworks\nInfrastructure as Code (Terraform/CloudFormation)\nJob Title: Senior Data Engineer / Analytics Engineer\nExperience\n8+ Years\nLocation\nFlexible / Hybrid / Remote\nJob Summary\nWe are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.\nBuild and manage data transformation frameworks using dbt.\nDevelop high-performance data models and optimize complex SQL queries.\nImplement data ingestion and integration processes from multiple data sources.\nLeverage AWS services to build cloud-native data solutions.\nEnsure data quality, governance, security, and compliance across data platforms.\nCollaborate with business stakeholders to understand requirements and convert them into technical solutions.\nCreate reusable data models, documentation, and best practices.\nMonitor and troubleshoot production data pipelines to ensure reliability and performance.\nMentor junior team members and participate in code reviews and architectural discussions.\nSupport BI and reporting initiatives by providing curated and trusted datasets.\nRequired Skills\nSQL\nAdvanced SQL development and performance tuning.\nExpertise in data modeling, query optimization, and database design.\nExperience working with large-scale relational and analytical databases.\ndbt\nStrong experience in developing and maintaining dbt projects.\nCreating incremental models, snapshots, tests, macros, and documentation.\nUnderstanding of CI/CD integration and deployment practices for dbt.\nAWS\nHands-on experience with:\nAmazon S3\nAWS Glue\nAWS Lambda\nAmazon Redshift\nAWS Athena\nIAM and Security Best Practices\nCloudWatch Monitoring\nEventBridge / Step Functions (preferred)\nPython\nStrong development experience using Python for data engineering and automation.\nExpertise with Pandas, NumPy, and API integrations.\nExperience building scalable data processing frameworks.\nAdditional Technical Skills\nExperience with ETL/ELT frameworks.\nKnowledge of data warehousing concepts and dimensional modeling.\nExposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.\nExperience with Airflow or other workflow orchestration tools is preferred.\nFamiliarity with Agile/Scrum methodologies.\nSoft Skills\nStrong verbal and written communication skills.\nAbility to interact confidently with business stakeholders and leadership teams.\nExcellent problem-solving and analytical thinking capabilities.\nExperience leading technical discussions and solution design workshops.\nStrong collaboration and mentoring skills.\nPreferred Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.\nAWS Certification (Associate or Professional level) preferred.\nExperience in modern cloud data platforms and analytics ecosystems.\nNice to Have\nSnowflake\nDatabricks\nPower BI or Tableau\nData Governance and Data Quality frameworks\nInfrastructure as Code 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