In short
Lead the design and development of data solutions using Google Cloud Platform technologies like BigQuery, SQL, Python, and Dataflow. This role involves collaborating with stakeholders, ensuring data quality and security, and mentoring junior team members. Requires 4-5 years of hands-on experience in data engineering and related tools.
Responsibilities
- Lead the technical team in the design and development of data solutions utilizing google bigquery, sql, python, and google dataflow.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Monitor data quality, integrity, and security within the solutions implemented.
- Provide technical guidance and mentorship to junior team members.
- Stay updated on emerging trends and best practices in data engineering and analytics.
Requirements
- GCP
- DBT
- SQL writing
- CICD
- Branching and working with repositories
- Understand data sources
- 4-5 Years of hands on experience
Desired Qualifications
- Proficiency in google bigquery for data warehousing and analytics.
- Strong sql skills for querying and managing large datasets.
- Advanced knowledge of python programming language for data manipulation and analysis.
- Experience with google dataflow for real-time data processing and etl pipelines.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities to effectively lead a technical team.
- Google Cloud Professional Data Engineer certification is preferred.
Benefits
- Supercharge your potential
- Find your career
- Find your spark
- A place that knows that helping its customers stay on top starts by putting its people first
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