Junior Data Engineer

Our client, an a top-tier Management Consulting firm is seeking a Junior Data Engineer to design, develop, and optimize large-scale data solutions. You will play a key role in building and enhancing data pipelines, enabling efficient data movement, and supporting advanced analytics and reporting initiatives across business domains.

Requirements and Qualifications :

• Develop and maintain ETL / ELT pipelines and workflows for data warehousing projects.
• Work with SQL, Hadoop, Spark, and Python to process and transform large datasets.
• Support integration of structured and unstructured data from multiple sources.
• Collaborate with senior engineers to implement best practices in coding, performance tuning, and data quality.
• Gain exposure to Apache NiFi for real-time / streaming data ingestion.
• Contribute to projects involving cloud platforms (AWS, Azure, or GCP).
• Document workflows, data lineage, and maintain operational support for data systems
• 3-5 years of hands-on experience in data engineering / data warehousing development.
• Strong proficiency in SQL and working knowledge of Python (or other programming languages).
• Practical experience with Hadoop and Apache Spark .
• Exposure to Apache NiFi and cloud-based data concepts is desirable.
• Strong analytical and debugging skills.
• Ability to work in a collaborative environment and contribute to agile delivery.