{"id":1317206,"url":"https://alion.io/job/puma-energy-analyst-data-engineer","title":"Analyst - Data Engineer","company":{"id":1887714,"name":"Puma Energy","domain":"pumaenergy.com","url":"https://alion.io/company/pumaenergy","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"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":"explicit","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-09-27T21:59:18Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"Company\nPuma Energy is a leading global energy business that supplies, stores, and distributes petroleum products in 47 countries across six continents. Founded in 1997, Puma Energy has its headquarters in Singapore and Geneva and employs over 8,000 people globally with regional hubs in South Africa, Puerto Rico, and Estonia and has a Global Delivery Centre in Mumbai (India).\nPuma Energy has a network of 1948 retail sites and a presence at over 103 airports. Our mission is to energize communities to help drive growth and prosperity by sustainably serving our customers’ needs in high-potential countries around the world\nPuma Processing Services LLP (PEPS) established in Year 2018, represents Puma Energy’s first captive offshoring unit and is based in Mumbai, India with over 200 employees. PEPS provides the Puma Group a key advantage of centralizing its core competency in services at one location and allows the group the ability to scale size to increase volumes in key areas. PEPS manages mid-office and back-office activities for Puma Businesses across all its business verticals like Retail, B2B, Aviation, and also enabling functions like IT and corporate. It serves the countries that are a part of the African continent, Middle East, and Asia Pacific and further extends support to the Puma Group in Geneva for its core activities.\nMain Purpose\nCollaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake.\nEnsure the data lake contains accurate, up-to-date, and high-quality data, enabling data scientists to develop insightful analytics and business stakeholders to make well-informed decisions.\nUtilize expertise in data engineering and cloud technologies to contribute to the overall success of the organization by providing the necessary data infrastructure and fostering a data-driven culture.\nDemonstrate a strong architectural sense in defining data models, leveraging the Poly-base concept to optimize data storage and access.\nFacilitate seamless data integration and management across the organization, ensuring a robust and scalable data architecture.\nTake responsibility for defining and designing the data catalogue, effectively modelling all data within the organization, to enable efficient data discovery, access, and management for various stakeholders.\nKey Responsibilities\nDesign, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.\nDevelop complex queries and solutions using Scala, .NET, Python/PySpark languages.\nImplement and maintain data solutions on Azure Data Factory, Azure Data Lake, and Databricks\nCreate data products for analytics and data scientist team members to improve their productivity.\nAdvise, consult, mentor, and coach other data and analytic professionals on data standards and practices.\nFoster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.\nLead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve our productivity as a team.\nDevelop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.\nPartner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.\nCollaborate with other team members and effectively influence, direct, and monitor project work.\nDevelop strong understanding of the business and support decision making.\nKey Relationships\nInternal - CEO & COO of Africa\nManagers across various departments, Senior Management, Head of Departments in other regional hubs of Puma Energy\nExternal - External Consultants\nWork Experience:\n10 years of overall experience & at least 5 years of relevant experience \n5 years of experience working with Azure data factory & data bricks\nSkills:\nBachelor's degree required; Computer Science Engineering.\n5+ years of experience working in data engineering or architecture role.\nExpertise in SQL and data analysis and experience with at least one programming language (Scala and .NET preferred).\nExperience developing and maintaining data warehouses in big data solutions.\nExperience with, Azure Data Lake, Azure Data Factory, and Databricks) in the data and analytics space is a must\nDatabase development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, and cloud data lake technologies.\nWorked with BI tools such as Tableau, Power BI, Looker, Shiny.\nConceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data.\nBig Data Development experience using Hive, Impala, Spark, and familiarity with Kafka.\nExposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics\nLanguages:\nFluency in verbal and written English mandatory\nFluency is Spanish & French is useful.\nReporting Structure\nMatrix","description_format":"text","description_chars":5146,"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":[{"language":"Spanish","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities"],"lifecycle":[{"event":"open","at":"2026-09-26T19:42:30Z"}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.642,"p_room":0.45,"age_days":39,"expected_fill_days":22,"reasons":["conf:0","win:tail"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/puma-energy-analyst-data-engineer","json_url":"https://alion.io/job/puma-energy-analyst-data-engineer.json","meta":{"generated_at":"2026-09-28T04:39:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2963,"day_limit":5000,"remaining_today":2037,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}