Hiring Data Engineer

Job Description:

We are seeking a talented Senior Data Engineer/Architects to join our innovative team. This role offers the flexibility of a hybrid working model, combining remote work with in-office twice a week. The ideal candidate will be a skilled data industry professional with hands-on experience in BigQuery and Python, and a passion for solving problems with data.

Key Responsibilities:

• Data Engineering: Design, develop, and maintain scalable data pipelines and architectures.
• Data Analysis: Utilize SQL and BigQuery to analyze large datasets and derive actionable insights.
• Optimize performance applying cost management techniques.
• Knowledge on data encryption techniques and key management over cloud
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Problem Solving/Competence:
• Apply data skills to solve complex business problems and improve decision-making processes.
• Ability to work in fast paced environment and effectively manage priorities.
• Technology Integration:
• Implement and manage data solutions using GCP and other relevant technologies.
• Upscale with latest trends, evolving solution to meet business needs.

Must-Have Skills:

• BigQuery and Python: Minimum of 2-3 years of experience working with these tools.
• Proven experience in building data platforms on cloud platform, preferably GCP
• Experience with SQL and Python for data processing
• Expertise with Big Query, Dataflow, Qlik, and cloud functions
• Data Engineering Experience: Hands-on experience as a Data Engineer, Analytics Engineer, or Data Architect.
• Experience in implementing security, privacy policies for data governance (GDPR)
• Understanding of DevOps practices for data platforms
• Problem-Solving Passion: A strong passion for solving problems using data skills.

Preferred Qualifications:

• Google cloud professional data engineer
• Experience in ML and integration with GCPs AI platform
• Familiarity with data lake implementation for structured source data.

Technology Skills:

• SQL
• Python Programming
• Data Science, Data Structures, Algorithms
• BigQuery, PostGres
• Data Visualization Tools: Experience with at least one of the following Tableau, Qlik, Google Charts, Data Studio/Looker
• GCP (Google Cloud)