Analyst - Data Engineer
Puma Energy3 months ago
Mumbai, IndiaSenior
Responsibilities
- Design, develop, optimize, and maintain data architectures and ETL pipelines aligned with business goals.
- Develop complex queries and data solutions using Scala, .NET, Python, and PySpark.
- Implement and maintain solutions using Azure Data Factory, Azure Data Lake, and Databricks.
- Create data products that improve productivity for analytics and data science teams.
- Define data models and catalogues and support data discovery, governance, integration, and management.
- Advise, mentor, and coach data and analytics professionals on standards and practices.
- Lead evaluation, implementation, and deployment of tools and processes for analytic data engineering.
- Partner with business analysts and solutions architects on technical architectures for enterprise projects.
- Develop communication and education plans for data engineering capabilities, standards, and processes.
- Collaborate with project teams, influence and monitor project work, and support business decision-making.
Requirements
- Bachelor’s degree required, preferably in Computer Science Engineering.
- 10 years of overall experience and at least five years of relevant experience.
- At least five years of experience with Azure Data Factory and Databricks.
- Five or more years of experience in data engineering or architecture roles.
- Expertise in SQL, data analysis, and at least one programming language, with Scala and .NET preferred.
- Experience developing and maintaining data warehouses and big data solutions.
- Experience with Azure Data Lake, Azure Data Factory, and Databricks in data and analytics environments.
- Database development experience using Hadoop or BigQuery, plus relational, NoSQL, and cloud data lake technologies.
- Experience with BI tools such as Tableau, Power BI, Looker, or Shiny.
- Knowledge of dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data.
- Big data development experience with Hive, Impala, Spark, and familiarity with Kafka.
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, or applied mathematics.
- Fluency in written and spoken English is mandatory; Spanish and French are useful.
Tech Stack
Categories
Data Engineering
About Puma Energy
Founded in 1997, Puma Energy is a privately held downstream energy company that supplies, stores, and distributes fuels, lubricants, LPG, bitumen, and aviation fuel for retail, commercial, and industrial customers. Headquartered in Singapore, it operates fuel terminals and a network of service stations across more than 35 countries, with a presence at over 100 airports. The company’s model spans wholesale and retail distribution supported by storage and logistics infrastructure.