{"id":800830,"url":"https://alion.io/job/particle41-data-engineer-powerbi","title":"Data Engineer - PowerBI","company":{"id":686023,"name":"Particle41","domain":"particle41.com","url":"https://alion.io/company/particle41-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":45,"open_postings":24,"ghost_share":0.917,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":36000,"period":"year","method":"role_seniority_country_cell","sample_n":26},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-01-19T06:12:40Z","employer_posted_date":"2026-01-19","last_verified_at":"2026-10-30T00:32:58Z","board_verified":true,"closed_at":null,"days_open":283,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":282},"description":"Data Engineer - Power BI\n*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"939bcb52-4927-4803-97ab-81e27bde755f\" data-testid=\"conversation-turn-38\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\nParticle41 is looking for a skilled and adaptable Data Engineer (Power BI) to join our growing team. In this role, you will be responsible for building and maintaining scalable ETL/ELT pipelines, optimising data warehouse/lakehouse solutions, and delivering reliable, analysis-ready datasets. You will also play a key role in developing and enhancing Power BI semantic models, dashboards, and reporting solutions, ensuring performance, accuracy, and business relevance. Working closely with product, engineering, and business stakeholders, you’ll deliver end-to-end data and BI solutions that drive meaningful outcomes for our clients. This is a great opportunity to work on impactful projects, solve complex data challenges, and grow in a fast-paced, collaborative environment.\nIn This Role, You Will:\nData Engineering & Pipeline Development\nDesign, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources.\nBuild and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics.\nIntegrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer.\nEnsure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks.\nMaintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic.\nPower BI Reporting & Semantic Modeling (Core Focus)\nDevelop and maintain Power BI dashboards and reports for business and leadership stakeholders.\nBuild optimized semantic models in Power BI (star/snowflake schema) for performance and scalability.\nWrite and optimize DAX measures, calculated columns, and KPIs aligned to business metrics.\nUse Power Query (M) for transformations and ensure reporting datasets are refresh-ready and reliable.\nManage Power BI deployments via Power BI Service, including scheduled refresh, workspace access, and report sharing.\nImprove dashboard performance by optimizing data model design, relationships, and aggregations.\nRequirements Gathering & Business Alignment\nCollaborate with product managers and business stakeholders to gather reporting requirements and translate them into technical deliverables.\nParticipate in analysis sessions to understand business needs and propose best-fit BI/data solutions.\nProvide technical recommendations to improve reporting accuracy, usability, and speed of decision-making.\nAgile Delivery\nWork in Agile development cycles including sprint planning, daily stand-ups, and sprint reviews.\nDeliver features on time by managing priorities, dependencies, and scope in a fast-paced environment.\nTesting, Debugging & Reliability\nPerform thorough testing of pipelines and reports to ensure reliability, performance, and data correctness.\nWrite unit tests and validations for transformations and pipeline outputs.\nConduct integration testing to ensure end-to-end reporting flows work as intended.\nIdentify and resolve defects, performance bottlenecks, and model/report issues proactively.\nContinuous Improvement & Innovation\nStay updated on trends in data engineering, BI analytics, and Power BI capabilities.\nRecommend improvements to enhance scalability, maintainability, and performance of the data/reporting ecosystem.\nContinuously optimise existing codebases, ETL processes, and Power BI dashboards for better efficiency.\nStay familiar with cloud platforms like Azure / AWS / GCP and modern data engineering practices.\nSkills and Experience We Value:\nBachelor’s degree in Computer Science, Engineering, or a related field.\nProven experience as a Data Engineer / BI Engineer, with 3+ years of experience.\nStrong proficiency in Power BI, including:Data modeling (semantic layer)\nDAX\nPower Query (M)\nDashboard/report optimization\n\nStrong hands-on experience with SQL (MySQL / PostgreSQL preferred) and query optimization.\nProficiency in Python for data transformation, automation, and integrations.\nExperience with data warehousing / lakehouse principles and performance tuning concepts.\nExposure to tools/technologies such as:Databricks, Spark, PySpark\nPandas\nAPIs / data integrations (Flask or similar frameworks)\n\nUtilities & tools: logging, requests, subprocess, regex, pytest\nFamiliarity with Git and modern collaborative development workflows.\nComfortable working in Linux and writing basic shell scripts.\nStrong problem-solving skills and attention to detail.\nExcellent communication skills and ability to work with cross-functional stakeholders.\nAdaptability and willingness to learn new tools/technologies as needed.\nAbout Particle41\n Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence (ELITE)\nE - Empowering: Enabling individuals to reach their full potential\nL - Leadership: Taking initiative and guiding each other toward success\nI - Innovation: Embracing creativity and new ideas to stay ahead\nT - Teamwork: Collaborating with empathy to achieve common goals\n E - Excellence: Striving for the highest quality in everything we do\nWe seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. \nWe appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at .","description_format":"text","description_chars":6351,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-12T07:41:27Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.129,"p_room":0.28,"age_days":282,"expected_fill_days":34,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/particle41-data-engineer-powerbi","json_url":"https://alion.io/job/particle41-data-engineer-powerbi.json","meta":{"generated_at":"2026-10-30T04:22:10Z","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":5886,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":686023},"rest":"https://alion.io/mcp/rest/get_company?id=686023"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fparticle41-data-engineer-powerbi"},{"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%2Fparticle41-data-engineer-powerbi"},{"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%2Fparticle41-data-engineer-powerbi"},{"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/particle41-data-engineer-powerbi\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fparticle41-data-engineer-powerbi"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":800830}},{"tool":"search_jobs","arguments":{"company":"particle41.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":800830},"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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