**About us**:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger.
We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.
Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
**The Role**:
**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
**Required Skills**:
- 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.
**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.
**What we Offer**:
- Remote Work Opportunities
- Versátil Work Hours
- Professional Development Opportunities

📌 Sr. Data Engineer/Analyst - Contract (Guadalajara)
🏢 Tech Holding
📍 Guadalajara