{"id":4325035,"url":"https://alion.io/job/accenture-data-platform-engineer-52","title":"Data Platform 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":2145,"ghost_share":0.001,"stale_share":0.187,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Informatica","optional":true},{"name":"Matillion","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Talend","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T00:06:04Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Project Role : Data Platform EngineerProject Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.\nMust have skills : Databricks Unified Data Analytics Platform\nGood to have skills : NA\nMinimum 3 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components.\nRoles & Responsibilities:\n- Work as part of the data engineering team to build, maintain, and optimize scalable data pipelines for large-scale data processing.\nDevelop and implement ETL/ELT processes using PySpark, Spark, and other relevant tools to move and transform data from various sources.\nAssist in designing and deploying solutions in major cloud platforms such as AWS, Azure, or GCP.\nSupport the development and maintenance of Big Data processing frameworks and data lakes to handle structured and unstructured data.\nCollaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability.\nImplement data ingestion strategies, ensuring the secure and efficient movement of data across different storage solutions.\nWork on real-time streaming data pipelines and batch data processing to handle high-volume workloads.\nDevelop and maintain reusable code for data extraction, transformation, and loading (ETL) operations.\nContribute to performance tuning of Spark jobs and data pipelines to ensure scalability and efficiency.\nAssist in maintaining governance and data security practices across cloud platforms.\nProfessional & Technical Skills:\n- Experience with AWS, Azure, or GCP for data engineering workflows.\nStrong proficiency in PySpark, Spark, or similar frameworks for building scalable data pipelines.\nUnderstanding of Big Data architectures, data storage, and data processing concepts.\nFamiliarity with cloud-native data storage solutions such as S3, Blob Storage, BigQuery, or Redshift.\nExperience with data orchestration tools like Apache Airflow or similar.\nKnowledge of data formats like Parquet, Avro, or JSON.\nStrong coding skills in Python for building data pipelines.\nGood understanding of SQL and database technologies.\nExcellent troubleshooting, debugging, and performance optimization skills\nAdditional Information:\n- Experience with real-time data processing and Kafka or similar tools.\nExposure to CI/CD pipelines and DevOps practices in cloud environments.\nFamiliarity with dbt (Data Build Tool) for data transformation workflows.\nExperience with other ETL tools like Informatica, Talend, or Matillion\nEducational Qualification:\n- 15 years full time education is required.\n15 years full time educationAbout 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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