GCP Data Lead

TechDigital Group; Nashville (TN); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Technical Lead to provide leadership in data engineering. This role focuses on designing and implementing data solutions using Google BigQuery, SQL, Python, and Google Dataflow. You will lead a technical team, ensuring data quality and security while mentoring junior members. If you have a passion for data engineering and want to drive innovative solutions, this opportunity is perfect for you. Join a collaborative environment where your expertise will help shape the future of data analytics and engineering.

Qualifications

• Proficiency in Google BigQuery and SQL for data warehousing.
• Advanced knowledge of Python for data manipulation and analysis.

Responsibilities

• Lead the technical team in designing data solutions with Google BigQuery.
• Collaborate with stakeholders to translate business needs into technical solutions.

Skills

Google BigQuery

SQL

Python

Google Dataflow

Problem-solving

Leadership

Communication

Education

Google Cloud Professional Data Engineer certification

Job description

Must have skills: JAVA SB, GCP– App Eng, Data Eng (GKE, GAE, Google BigQuery, SQL, Python, and Google Dataflow)

Job Summary: The Technical Lead will be responsible for providing leadership and technical expertise in Google BigQuery, SQL, Python, and Google Dataflow. The role will involve driving the design, development, and implementation of data solutions using these technologies to meet business requirements.

Key Responsibilities:

1. Lead the technical team in the design and development of data solutions utilizing Google BigQuery, SQL, Python, and Google Dataflow.
2. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
3. Monitor data quality, integrity, and security within the solutions implemented.
4. Provide technical guidance and mentorship to junior team members.
5. Stay updated on emerging trends and best practices in data engineering and analytics.

Skill Requirements:

1. Proficiency in Google BigQuery for data warehousing and analytics.
2. Strong SQL skills for querying and managing large datasets.
3. Advanced knowledge of Python programming language for data manipulation and analysis.
4. Experience with Google Dataflow for real-time data processing and ETL pipelines.
5. Strong problem-solving and analytical skills.
6. Excellent communication and leadership abilities to effectively lead a technical team.

Certifications: Google Cloud Professional Data Engineer certification is preferred.