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.
