Sr. Data Engineer

Our client, an a top-tier Management Consulting firm is seeking a Senior 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 :

• Lead the end-to-end design and development of data warehousing solutions to support enterprise-wide analytics.
• Develop and optimize ETL / ELT pipelines leveraging SQL, Hadoop, Spark, and Python .
• Ensure scalability, performance, and reliability of data systems.
• Mentor and guide junior engineers, providing technical leadership and code reviews.
• Collaborate with business stakeholders, architects, and analysts to translate requirements into robust data solutions.
• Work with Apache NiFi for data ingestion pipelines and explore automation opportunities.
• Contribute to cloud migration and adoption strategies, leveraging cloud-native data platforms (AWS, Azure, or GCP).
• Ensure data quality, governance, and security standards are maintained across pipelines. 5-7 years of experience in Data Engineering and Data Warehousing projects.
• Strong expertise in SQL and programming (Python or Java / Scala).
• Solid hands-on experience in Hadoop ecosystem and Apache Spark .
• Exposure to Apache NiFi for data flow management is a strong plus.
• Good understanding of cloud concepts and modern data architectures.
• Strong problem-solving skills and ability to optimize performance in large datasets.
• Excellent communication and stakeholder management skills.