- The person on this role will play a crucial role in building scalable and cost-effective data pipelines, data lakes, and analytics systems.
- Data Ingestion: Implement data ingestion processes to collect data from various sources, including databases, streaming data, and external APIs.
- Data Transformation: Develop ETL (Extract, Transform, Load) processes to transform and cleanse raw data into a structured and usable format for analysis.
- Data Storage: Manage and optimize data storage solutions, including Amazon S3, Redshift, and other AWS storage services.
- Data Processing: Utilize AWS services like AWS Glue, Amazon EMR, and AWS Lambda to process and analyze large datasets.
- Data Monitoring and Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
- Integration: Collaborate with data scientists, analysts, and other stakeholders to integrate AWS-based solutions into data analytics and reporting platforms.
- Documentation: Maintain thorough documentation of data engineering processes, data flows, and system configurations.
- Scalability: Design AWS-based solutions that can scale to accommodate growing data volumes and changing business requirements.
- Cost Management: Implement cost-effective solutions by optimizing resource usage and recommending cost-saving measures.
- Troubleshooting: Diagnose and resolve AWS-related issues to minimize downtime and disruptions.
- Strong experience with AWS services on big data platforms.
- Strong Python experience in building Dash application in AWS
- Spark
- Shell scripting and Linux knowledge
- Investment Knowledge preferred
- Looking for candidates who have worked in Investment/Finance space
- Machine Learning Skills
- A bachelor's degree in computer science, information technology, or a related field is typically required.
- A master's degree is preferred with GPA of 3.8+
- Problem-Solving:
- Strong analytical and problem-solving skills to address complex data engineering challenges.
- Communication Skills:
- Effective communication and collaboration skills to work with cross-functional teams.
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Tableau Developer - Charlotte, United States - Entech
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Description
We re living and working in the midst of a digital revolution, and the demand for optimized technology practices has never been more critical for businesses. At Entech, it s our mission to help companies navigate the changing environment and accelerate digital realization through the power of solutions, services, and product platforms. With comprehensive end-to-end offerings, we advise, engineer, and manage, ensuring our clients proactively drive toward success in this ever-evolving digital landscape.
Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.Our team is growing, and we re searching for a Tableau Developer who is a creative problem-solver with their fingertips on the latest industry practices to help our clients achieve digital realization. You ll join a group of industry veterans, blending the power of tried-and-true methods with cutting-edge technologies. We prioritize authentic partnerships in a collaborative environment, and we re excited to welcome a BI Analyst who is eager to bring their expertise to our team.
Responsibilities
Qualifications
Must Have:
Nice to have:
Educational Background:
Company Benefits
Health, Dental, Vision, 401(k), 25 days of Paid Time Off (PTO)
Additionally
Entech is an equal-opportunity employer.
This is an On-site Hybrid work schedule based out of our Charlotte North Carolina Office
No Third-party candidates will be accepted, this is strictly a direct employment opportunity with Entech.