Senior Data Engineer/Analyst

Summary

Join Tech Holding as a Senior Data Engineer/Analyst and be part of a growing team. This role blends data engineering and advanced analytics, covering the entire data lifecycle. You will design, develop, and optimize data pipelines, build scalable data architectures, and implement ETL processes. Leveraging machine learning, you'll analyze large datasets, build dashboards, and mentor junior team members. The ideal candidate possesses extensive experience in data engineering, strong programming skills, and excellent communication abilities. This position offers remote work opportunities and flexible hours.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field
• 5+ years of experience in data engineering, focusing on large-scale data pipelines and systems
• Expertise in SQL for complex data analysis and manipulation
• Strong programming skills in Python and shell scripting, with experience in Spark for distributed data processing
• Hands-on experience with ETL tools and cloud platforms like AWS (e.g., S3, SageMaker, EMR)
• Proficiency in working with relational databases and data warehouses (e.g., Snowflake, Redshift)
• Ability to scale data processing and modeling solutions to handle millions of rows efficiently
• Strong problem-solving skills with the ability to devise innovative solutions
• Excellent communication and interpersonal skills, capable of working with technical and non-technical teams
• Proven ability to work independently and manage priorities effectively in a fast-paced environment

Responsibilities

• Design, develop, and optimize data pipelines and workflows for seamless data movement and processing
• Build and maintain scalable data architectures, including data warehouses (e.g., Snowflake, Redshift) and big data platforms (e.g., Databricks, Spark)
• Implement ETL processes and automate data workflows to ensure high performance and reliability
• Extract, transform, and manipulate datasets using SQL and Python to create features for analytics and machine learning
• Analyze large datasets to identify trends, insights, and opportunities for improving data systems and business processes
• Build dashboards and visualizations to communicate data insights and results effectively
• Develop, train, and deploy machine learning models within data pipelines to enhance predictive capabilities
• Ensure model scalability and performance when working with large datasets and distributed systems
• Utilize AWS tools (e.g., SageMaker, EMR) for managing machine learning workflows and data processing
• Mentor junior team members on technical projects and coding best practices
• Partner with stakeholders across analytics, product, finance, and marketing teams to deliver end-to-end data solutions
• Actively participate in peer reviews, architectural discussions, and documentation efforts

Preferred Qualifications

• Familiarity with reporting tools like Tableau or similar platforms
• Experience working on subscription-based products
• Knowledge of accounting, FP&A, and marketing domains

Benefits

• Remote Work Opportunities
• Flexible Work Hours
• Professional Development Opportunities