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 analytic solutions within a modern cloud data platform environment.
Key Responsibilities
- Assisting designing and implementing scalable data pipelines using SQL and Python.
- Work with Azure Data Services such as Data Factory, Data Lake, Azure Functions, and Logic Apps.
- Develop and automate data workflows in Python for cleansing, transformation, and enrichment.
- Write and optimize SQL queries for structured and semi-structured data.
- Contribute to the development and improvement of data models and warehouse schemas.
- Collaborate with team members and stakeholders to understand data requirements and deliver solutions.
Mandatory Skills
- Proficiency in Python and SQL
- Knowledge of Data Warehousing concepts and Data Modelling
- Good understanding of SQL (joins, subqueries, aggregations, indexing and query optimization basics)
Desired Skills
- Familiarity with Databricks and/or Snowflake
- Experience with Git/GitHub for version control
Preferred Qualifications
- Strong problem-solving and debugging skills
- Excellent communication and interpersonal abilities
- Passion for data, cloud technologies, and building high-performance systems
- Ability to work both independently and as part of a collaborative team
- Eagerness to continuously learn and adapt to evolving technologies and industry practices
We seek driven, talented professionals who are passionate about their expertise and ready to make an impact.