Data Engineer

TechDigital Group; San Jose (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading technology firm is looking for a Business Intelligence Developer to join their DCData team in California. The role involves designing, developing, and maintaining business intelligence solutions that transform raw data into actionable insights. Successful candidates will have strong SQL proficiency, with experience in Python and Tableau being advantageous. Responsibilities include workflow automation, creating data visualizations, and ensuring data integrity. Join us to leverage your skills in a collaborative environment aimed at enhancing data-driven decision-making.

Qualifications

• Strong SQL proficiency is required for data manipulation and analysis.
• Experience with Python and Tableau is beneficial for developing BI solutions.
• Ability to create and maintain data visualizations using BI tools.

Responsibilities

• Design and develop end-to-end business intelligence solutions.
• Partner with cross-functional teams to translate business needs into technical requirements.
• Write and optimize SQL queries for ETL processes.
• Develop and automate KPI frameworks and performance reports.
• Create compelling data visualizations to present complex trends.
• Ensure data integrity, accuracy, and security.

Skills

SQL proficiency

Python

Tableau

Looker

Power BI

Job description

Mandatory Skills

SQL proficiency is required. Python and Tableau are beneficial.

Data Engg (Strong SQL, Python, Tableau, Power BI)

As a Business Intelligence Developer on the DCData team, you will be a key player in transforming raw data into actionable insights that inform critical business decisions for our data center operations. You will design, develop, and maintain BI solutions that provide clear and reliable data to leadership and stakeholders.

Responsibilities

• Design, develop, and maintain end-to-end business intelligence solutions, including data models, pipelines, and interactive dashboards.
• Partner with cross-functional teams, including engineers, product managers, and operations leaders, to understand business needs and translate them into technical requirements.
• Write and optimize complex SQL queries to extract, transform, and load (ETL) data from various data sources into our data warehouse.
• Develop and automate key performance indicator (KPI) frameworks and reports that track the performance and efficiency of data center operations.
• Create intuitive and compelling data visualizations using BI tools like Looker, Tableau, or Power BI to help stakeholders quickly grasp complex data trends.
• Ensure the integrity, accuracy, and security of data, and proactively troubleshoot any data-related issues.
• Proactively identify opportunities to improve data collection, reporting processes, and overall data infrastructure.