Data Engineer

About the employer:

Our Client ranks at the top of the leading companies providing services at the highest level, allowing them to build modern and efficient businesses. The client's objective is to change business operational and technological models and adapt them to a rapidly changing world.

Responsibilities:

• Design and implement scalable data pipelines using Apache Spark and Python,
• develop and maintain data warehousing solutions with Apache Hive,
• orchestrate data workflows using Apache Airflow,
• manage and query SQL Server databases,
• optimize and troubleshoot data processing jobs to ensure performance and reliability,
• ensure data quality and integrity across all data pipelines,
• collaborate with data scientists and analysts to understand data requirements and deliver solutions,
• design, develop, and maintain SQL Server databases,
• monitor and tune production systems for optimal performance.

Requirements:

• 5+ years of experience as a Data Engineer,
• proven experience with SQL Server, T-SQL, and database design principles,
• experience with Databricks and Data Factory,
• strong problem-solving and analytical skills,
• background in Big Data technologies and ETL processes.

Our client offers:

• Work with cutting-edge data technologies,
• be part of a collaborative and innovative work environment,
• enjoy competitive salary and career growth opportunities.