| Hiring :: Data Engineer At Dallas, TX (Day 1 Onsite)// Only Local to Texas // Must Need Wealth Management Exp. at Dallas, Texas, USA |
| Email: [email protected] |
| Hi, Hope you are doing great Position: Data Engineer Location : Dallas, TX ( Day 1 onsite) Duration: Long Term JD: . Design, develop, and maintain data infrastructure and pipelines for our wealth management software using technologies like Snowflake, Talend, Python, and Azure . Collaborate with product managers, designers, and other developers to understand requirements and translate them into technical designs and implementations. . Implement data integration and ETL processes to extract, transform, and load data from various sources into our wealth management software. . Develop data models and database schemas to support the storage and retrieval of financial data! . Ensure data quality, integrity, and security throughout the software development lifecycle! . Optimize data processing and analytics capabilities to meet performance and scalability requirements! . Conduct thorough testing of data pipelines and processes to ensure reliability and accuracy! . Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and provide data-driven solutions. . Research and evaluate new technologies, tools, and frameworks relevant to data engineering in wealth management. . Keep up to date with emerging trends and best practices in data engineering and wealth management software development! Requirements: . Bachelor's degree in computer science, Software Engineering, Data Science, or a related field . Proven experience in data engineering, data integration, and ETL development using technologies like Snowflake, Talend, Python, and Azure . Strong understanding of wealth management concepts and financial markets . Proficient in SQL and database technologies (e.g., Snowflake, SQL Server, Oracle, Azure SQL Database) . Familiarity with cloud platforms and services (e.g., Azure, AWS) for data processing and storage . Knowledge of data warehouse design principles and dimensional modeling . Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) . Familiarity with version control systems (e.g., Git) . Excellent problem-solving and analytical skills . Strong communication and collaboration abilities . Attention to detail and a commitment to delivering high-quality software Preferred: . Experience working in the finance or wealth management industry. . Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau) . Familiarity with DevOps practices and CI/CD pipelines . Certifications or relevant training in data engineering or cloud computing technologies Anuj Kaushik (732) 802-7547 [email protected] SwankTek, Inc | An E-Verified Firm 510 Franklin Avenue, Suite 6,7 & 8 Nutley, NJ 07110 | www.swanktek.com Keywords: continuous integration continuous deployment business intelligence New Jersey Texas |
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| Wed Oct 04 00:24:00 UTC 2023 |