Senior Data engineer

Job Description:

Senior Data Engineer

We are looking for a talented and experienced Senior Data Engineer to join our growing team and play a key role in building and maintaining our data infrastructure.

Responsibilities:

• Design, develop, and deploy high-performance, scalable data pipelines using Azure Datalake, Databricks, Data Factory, and DBT (minimum 3 years of experience required).

• Own the end-to-end data engineering life cycle, from data ingestion and transformation to modeling and delivery.
• Architect and implement relational databases and data models, ensuring efficient data storage and retrieval.
• Develop and execute ETL processes for data movement and transformation.
• Implement and manage CI/CD pipelines using tools like Git and Azure DevOps.
• Configure and administer Databricks and Azure Data Factory.
• Work independently and collaboratively with other engineers and stakeholders.
• Mentor and guide junior team members to help them grow their skills.
• Communicate effectively with both technical and non-technical audiences.

 Requirements:

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Azure Datalake, Databricks, Data Factory, and DBT.
• Proven experience in SQL and data modeling.
• Solid understanding of relational database design, ETL processes, and data lake architecture.
• Experience with Agile methodologies and tools like Jira and Azure DevOps.
• Knowledge of CI/CD pipelines and Git version control.
• Excellent communication and interpersonal skills.

 Bonus points:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of Python, Spark, or Scala.
• Experience with data analysis tools and techniques.

 If you are passionate about data, thrive in a collaborative environment, and are looking for an opportunity to make a real impact, we encourage you to apply!