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.
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.
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.
Other Requirements
1.Google Cloud Professional Data Engineer certification is preferred.