We are looking for a Data Engineer with 1–3 years of experience in building and managing cloud native data pipelines. The ideal candidate should have solid expertise in Python, SQL, and Azure services. As part of our team, you will contribute to the design,development, and optimization of large-scale data integration and analyticssolutions within a modern cloud data platform environment.
• Assisting designing and implementing scalable data pipelines using SQL and Python.
• Workwith Azure Data Services such as Data Factory, Data Lake, Azure Functions, andLogic Apps.
• Develop and automate data workflows in Python for cleansing, transformation, andenrichment.
• Writeand optimize SQL queries for structured and semi-structured data.
• Contributeto the development and improvement of data models and warehouse schemas.
• Collaboratewith team members and stakeholders to understand data requirements and deliversolutions.
• Proficiencyin Python and SQL
• Knowledgeof Data Warehousing concepts and Data Modelling
• Goodunderstanding of SQL (joins, subqueries, aggregations, indexing and queryoptimization basics)
• Familiaritywith Databricks and/or Snowflake
• Experiencewith Git/GitHub for version control
• Strong problem-solving and debugging skills
• Excellent communication and interpersonalabilities
• Passion for data, cloud technologies, andbuilding high-performance systems
• Ability to work both independently and as partof a collaborative team
• Eagerness to continuously learn and adapt toevolving technologies and industry practices
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We seek driven, talented professionals who are passionate about their expertise and ready to make an impact.