{"id":3947747,"url":"https://alion.io/job/accenture-data-engineer-78","title":"Data Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2116,"ghost_share":0.001,"stale_share":0.17,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Bengaluru, India","Hyderabad, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"GitHub","optional":true},{"name":"Kubernetes","optional":true},{"name":"Power Apps","optional":true},{"name":"Power Automate","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T01:04:29Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Project Role : Data EngineerProject Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.\nMust have skills : Cloud Automation DevOps\nGood to have skills : NA\nMinimum 7.5 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to enhance data accessibility and reliability, contributing to the overall data strategy of the organization.\nRoles & Responsibilities:\n- Works largely independently within defined projects/work streams and is checked on end results.\n- Has an executional role in design and development projects or acts as an expert tester who designs test scripts and provides overall project guidance and planning support.\n- Advises internally on solving functional and technical problems regarding the assigned applications and Infrastructure.\nProfessional & Technical Skills:\n- Must To Have Skills: Proficiency in Cloud Automation DevOps.\n- Strong understanding of data pipeline architecture and design.\n- Experience with cloud platforms such as AWS, Azure, or Google Cloud.\n- Familiarity with containerization technologies like Docker and Kubernetes.\n- Knowledge of scripting languages such as Python or Bash for automation tasks.\nPrimary Skills: ADF - Mastery, Databricks - Mastery, PySpark - Mastery, SQL - Mastery, GitHub & CI/CD - Mastery, Delivery Leadership Experience - Skilled, Performance Optimization - Skilled in optimizing SQL and data processing for performance improvement and cost reduction, Troubleshooting & Orchestration - Skilled, Testing - Ability to design and execute comprehensive unit testing strategies, AAS (optional)\nSecondary Skills: Power BI, Log & Analytics Review - Ability to interpret and analyze system logs, Power Apps / Power Automate, Databricks: Unity Catalog, SQL Endpoints, Delta Live Tables, PBAC / RBAC\nAdditional Information:\n- The candidate should have minimum 7.5 years of experience in Cloud Automation DevOps.\n- This position is based at our Bengaluru office.\n- Minimum: 6-8 year(s) of experience is required\n- Educational Qualification : 15 years full time education15 years full time education\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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