Data Engineer II: ETL, Databricks & Data Quality

Techtronic Industries Co Mexico S De RL De CV; United States; Remote; MXN 900,000 - 1,100,000; Full time

Job summary

Techtronic Industries Co Mexico S De RL De CV is seeking a data engineer to design, develop, optimize, and support scalable data solutions that enable reliable, secure access to information across the organization. This role ensures data quality and availability by collaborating with business stakeholders and technical teams to drive data-driven decision-making.

Advanced English proficiency is required. You will work with Databricks, Snowflake, Apache Spark, and Azure Data Factory while

Qualifications

• Bachelor's degree in Information Systems, Software Engineering or Computer Science.
• Strong knowledge of data engineering concepts.
• Experience with ETL/ELT and data governance.
• Ability to design, implement and optimize data pipelines.

Responsibilities

• Utilize planning tools, metrics, and dashboards to monitor project progress and performance.
• Promote continuous improvement of processes, standards, and data engineering best practices.
• Ensure alignment and effective communication between global and local teams.
• Provide technical support, guidance, and mentoring to team members.

Skills

Data engineering

ETL/ELT processes

Data modeling

SQL

Data governance

Data integration

Databricks

Snowflake

Azure Data Factory

Apache Spark

Education

Bachelor's degree in Information Systems, Software Engineering, Computer Science

Tools

Databricks

Snowflake

Apache Spark

Azure Data Factory

Job description

Techtronic Industries Co Mexico S De RL De CV is seeking a data engineer to design, develop, optimize, and support scalable data solutions that enable reliable, secure access to information across the organization. This role ensures data quality and availability by collaborating with business stakeholders and technical teams to drive data-driven decision-making.

Advanced English proficiency is required. You will work with Databricks, Snowflake, Apache Spark, and Azure Data Factory while