Associate Product Architect

Yantran LLC

MIAMI BEACH, FL

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Spark, Best Practices, Big Data, Cloud Computing, Communication Skills, Computer Science, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Recovery, Data Science, Data Storage, Data Structures, Data Visualization Tools, Database Extract Transform and Load (ETL), Engineering, GCP (Good Clinical Practices), Identify Issues, Industry/Trade Analysis, Machine Learning, Microsoft Windows Azure, Performance Tuning/Optimization, Power BI, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Quality Assurance Methodology, Regulatory Compliance, Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Software Engineering, Tableau, Team Player, Validation Testing, Work From Home

LOCATION

MIAMI BEACH, FL

POSTED

30+ days ago

Job Title: Senior Data Engineer
Location: WFH USA Florida Miami Beach
Years of Experience: 10 15 Years
Job Summary:
We are seeking a highly skilled Senior Data Engineer with a strong background in Python to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and maintaining scalable data pipelines and architectures. You will play a crucial role in transforming raw data into actionable insights, enabling data driven decision making across the organization.
Responsibilities:
Design, develop, and maintain robust data pipelines and ETL processes to support data ingestion and transformation.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high quality data solutions.
Implement data models and structures that optimize data storage and retrieval for analytical purposes.
Ensure data quality and integrity through rigorous testing and validation processes.
Monitor and troubleshoot data pipeline performance, implementing optimizations as necessary.
Stay updated with industry trends and best practices in data engineering and apply them to improve existing processes.
Document data engineering processes, architectures, and workflows for knowledge sharing and compliance.
Mandatory Skills:
Strong proficiency in Python, with a deep understanding of data manipulation libraries such as Pandas and NumPy.
Extensive experience with data warehousing solutions and ETL tools.
Solid understanding of SQL and experience with relational databases.
Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
Preferred Skills:
Experience with data visualization tools (e.g., Tableau, Power BI).
Knowledge of machine learning concepts and frameworks.
Experience with containerization technologies (e.g., Docker, Kubernetes).
Familiarity with data governance and compliance standards.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10 15 years of experience in data engineering or a related field.
Proven track record of successfully delivering data engineering projects.
Strong analytical and problem solving skills.
Excellent communication and collaboration abilities.
If you are a passionate data engineer with a strong Python background and a desire to work in a collaborative environment, we encourage you to apply for this exciting opportunity.

About the Company

Yantran LLC

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