{"id":3320281,"url":"https://alion.io/job/arrow-electronics-aws-data-engineer","title":"AWS - Data Engineer","company":{"id":1757520,"name":"Arrow Electronics","domain":"arrow.com","url":"https://alion.io/company/arrow-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":63,"open_postings":118,"ghost_share":0.695,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-03T05:54:40Z"}},"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":["Ahmedabad, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"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":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"GitHub","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-03T18:16:13Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":8},"description":"Position:\nAWS - Data EngineerJob Description:\nPower BI / AWS Data Engineer - Job Description\nPosition : Power BI and AWS Data Engineer\nJob Summary\nWe are looking for a skilled and detail-oriented Power BI / AWS Data Engineer with 4-6 years of experience in business intelligence, data engineering, and cloud analytics platforms. The candidate will be responsible for designing, developing, and maintaining scalable BI solutions, automated data pipelines, and interactive dashboards to support business decision-making.\nThe ideal candidate should have strong expertise in Power BI, Advanced SQL, Python, and AWS cloud data services, along with experience in modern cloud data platforms, ETL/ELT tools, and data transformation frameworks. The role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams in a fast-paced environment.\nKey Responsibilities\nDesign, develop, and maintain interactive dashboards, reports, and semantic models using Power BI.\nCreate optimized data models, DAX calculations, KPIs, measures, Power Query transformations, and enterprise reporting solutions.\nDevelop and maintain complex SQL queries, stored procedures, and database objects for analytics and reporting.\nBuild and maintain scalable ETL/ELT pipelines using AWS Glue, Amazon EMR, AWS Lambda, or similar AWS data integration services.\nDevelop Python scripts for automation, data processing, validation, and workflow optimization.\nIntegrate data from multiple enterprise systems including SQL Server, Oracle, SAP, ERP, APIs, AWS services, and cloud data warehouses.\nWork with modern cloud platforms including AWS, Amazon Redshift, Amazon S3, Databricks, and Power BI.\nDesign dimensional data models (Star Schema/Snowflake Schema) and publish curated datasets for enterprise analytics.\nOptimize Power BI reports through DAX optimization, query tuning, incremental refresh, aggregation, and performance best practices.\nImplement Row-Level Security (RLS), workspace governance, deployment pipelines, and Power BI Service administration.\nCollaborate with Data Engineering teams to design scalable data lake, Lakehouse, and Medallion Architecture solutions.\nSupport deployment, release management, CI/CD implementation, and migration across Development, UAT, and Production environments.\nMaintain technical documentation for dashboards, datasets, pipelines, and operational runbooks.\nTroubleshoot reporting, performance, data quality, and production issues while ensuring high availability of analytics solutions.\nWork closely with business stakeholders to gather reporting requirements and translate them into scalable technical solutions.\nPrimary Skills (Must Have)\nPower BI & Analytics\nStrong hands-on experience developing enterprise Power BI reports, dashboards, and semantic models.\nExpertise in DAX, Power Query (M), calculated measures, calculated columns, relationships, and data modeling.\nExperience publishing and managing datasets using Power BI Service.\nKnowledge of Row-Level Security (RLS), Incremental Refresh, Gateways, Deployment Pipelines, Workspace Management, and report performance optimization.\nExperience building executive dashboards, KPI scorecards, and self-service BI solutions.\nProgramming Languages\nAdvanced SQL (essential) for query optimization, stored procedures, and analytics.\nStrong Python programming for automation, data processing, scripting, and ETL development.\nData Engineering & ETL\nHands-on experience building ETL/ELT pipelines using AWS Glue, Amazon EMR, AWS Lambda, Amazon Kinesis, or similar AWS services.\nExperience working with Amazon S3 as a data lake.\nKnowledge of data orchestration, monitoring, and workflow automation using AWS services.\nUnderstanding of Medallion Architecture, Lakehouse concepts, and modern data engineering best practices.\n Data Warehousing & Cloud Platforms\nExperience with AWS (Redshift, S3, Glue, Athena, EMR, Lambda, IAM, CloudWatch).\nExperience with Databricks, or equivalent cloud data platforms.\nStrong understanding of cloud data warehousing, Lakehouse architecture, and dimensional modeling\nData Modeling & Database\nStrong understanding of Star Schema, Snowflake Schema, and dimensional modeling.\nExperience working with SQL Server, Oracle, MySQL, DynamoDB or cloud databases.\nKnowledge of semantic modeling and enterprise reporting architecture.\nEngineering Best Practices\nExperience using Git/version control.\nExperience implementing CI/CD pipelines \nFamiliarity with Agile/Scrum methodologies.\nStrong documentation, troubleshooting, and code review practices.\nData Governance & Security\nExperience implementing security using AWS IAM, encryption, secrets management, and data governance best practices.\nKnowledge of data privacy, RBAC and secure data sharing.\nSecondary Skills (Good to Have)\nExposure to other cloud analytics platforms such as Azure, Snowflake\nQualification\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.\n5-8 years of experience in Power BI, Data Analytics, and Data Engineering.\nStrong analytical, troubleshooting, communication, and stakeholder management skills.\nAbility to work effectively with cross-functional business and technical team.\nPreferred Certifications\nMicrosoft Power BI Data Analyst Associate\nAWS Certified Data Engineer - Associate or AWS Certified Solutions Architect - Associate\nAWS Certified Developer - Associate \nDatabricks Fundamentals or Associate Certification \nTools & Technologies\nPower BI Desktop & Power BI Service\nAmazon S3\nAWS Glue\nAmazon Redshift\nAmazon Athena\nAmazon EMR\nAWS Lambda\nAmazon Kinesis\nAWS IAM & CloudWatch\nSQL Server / Oracle / MySQL / DynamoDB\nPython\nAdvanced SQL\nDAX & Power Query\nGit / GitHub / AWS CodePipeline / Jenkins\nLocation:\nIN-GJ-Ahmedabad, India-Ognaj (eInfochips)Time Type:\nFull timeJob Category:\nEngineering Services","description_format":"text","description_chars":5858,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Hardware","Wholesale","Electronic Components Distribution"],"lifecycle":[{"event":"open","at":"2026-10-27T07:35:25Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.547,"p_room":0.45,"age_days":8,"expected_fill_days":5,"reasons":["conf:3","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/arrow-electronics-aws-data-engineer","json_url":"https://alion.io/job/arrow-electronics-aws-data-engineer.json","meta":{"generated_at":"2026-11-04T04:06:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6366,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1757520},"rest":"https://alion.io/mcp/rest/get_company?id=1757520"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Farrow-electronics-aws-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Farrow-electronics-aws-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Farrow-electronics-aws-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/arrow-electronics-aws-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Farrow-electronics-aws-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3320281}},{"tool":"search_jobs","arguments":{"company":"arrow.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3320281},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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