Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and a passion for building scalable data solutions. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and architectures that support our data analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable.

Key Responsibilities:

• Design and implement robust data pipelines using tools such as Databricks, Snowflake, and Azure Data Factory.
• Develop ETL/ELT processes to extract, transform, and load data from various sources into data warehouses.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Optimize data models and queries for performance and scalability.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Stay updated with the latest trends and technologies in data engineering and analytics.

Required Skills:

• Proficiency in Python and PySpark for data processing and analysis.
• Strong SQL skills for querying and manipulating data.
• Experience with data visualization tools such as Power BI and DAX.
• Familiarity with cloud platforms like Azure, AWS, or GCP.
• Knowledge of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively with team members and stakeholders.

If you are a motivated and experienced data engineer looking to take your career to the next level, we encourage you to apply and join our innovative team.