Data Engineer (Asset Management) ($50/hr)

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and platforms. The ideal candidate will have a strong background in big data technologies, data warehousing concepts, and cloud platforms, with proven experience in delivering enterprise-grade data solutions. This role requires strong technical expertise along with excellent communication and collaboration skills, especially in a global team environment. Key Responsibilities • Design, build, and optimize data pipelines using PySpark, Hive, SQL, and Python. • Develop and maintain scalable solutions on AWS Cloud with exposure to Databricks. • Implement and manage workflows and scheduling using Airflow (or similar orchestration tools). • Work with MPP data warehouses such as SQL Data Warehouse (SQLDW) or Amazon Redshift. • Apply strong data warehousing concepts in building and optimizing ETL/ELT solutions. • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions. • Utilize version control tools such as GitHub or Bitbucket for collaborative development. • Partner with onshore and offshore teams to ensure seamless coordination and delivery. • Engage with clients and stakeholders to provide technical guidance and support. Must-Have Skills • 5+ years of professional experience in data engineering. • Strong hands-on expertise with PySpark, Hive, SQL, and Python. • Experience with AWS Cloud and Databricks. • Proficiency with Airflow or similar workflow orchestration tools. • Exposure to MPP data warehouses (SQLDW, Redshift, or equivalent). • Solid understanding of data warehousing concepts and ETL best practices. • Experience with version control tools (GitHub, Bitbucket). • Strong communication skills with proven experience in client engagement. • Ability to work effectively with offshore teams and distributed stakeholders. Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Track record of delivering data solutions in enterprise or cloud-based environments. • Excellent problem-solving and analytical skills with attention to detail.