Senior Data Engineer

Our client, a global technology consultancy specializing in designing, developing, and scaling digital and sustainable solutions to create value across people, planet, and profit. With a presence in multiple countries and a diverse team of experts, the company is committed to ethical innovation and using technology as a force for good.

Responsibilities:

• Design, implement, and maintain scalable data pipelines for processing structured and unstructured data.
• Build and manage data lakes and warehouses, ensuring efficient data storage and retrieval.
• Leverage cloud platforms (AWS, Azure, GCP) to optimize data infrastructure for performance, cost, and reliability.
• Implement data quality checks, validation, and governance frameworks to ensure accuracy and security compliance.
• Optimize data pipelines to improve speed, reduce latency, and enhance system performance.
• Collaborate with data scientists, analysts, and stakeholders to deliver business-driven solutions.
• Implement data visualization solutions using tools like Tableau and PowerBI.
• Stay updated on emerging technologies and trends in big data and data engineering.

Qualifications:

• Bachelor's or Master's in IT, Computer Science, or related field with 6+ years of experience.
• Strong knowledge of big data technologies (Hadoop, Spark) and NoSQL databases (Cassandra, MongoDB).
• Experience with batch & ETL jobs, and querying tools (Hive, Spark SQL).
• Proficiency in PowerBI and data visualization.
• Experience or willingness to work with real-time stream processing (Kafka, AWS Kinesis).
• Familiarity with DevOps/DataOps principles and automation.
• Basic understanding of Data Science concepts.
• Passionate about technology and continuous learning.