Senior Data Engineering Specialist
5 days ago
At Thinking Machines Data Science, we're dedicated to creating data cultures that empower organizations to make informed decisions. Our team builds AI & data platforms that drive impact, and we're looking for a talented Data Engineer to join our ranks.
We believe that great data science products are built with care for people, and we prioritize diversity and inclusivity in our team. As a Data Engineer, you'll play a crucial role in collecting and consolidating data from various sources, securing it and transforming it into usable formats for your team.
Key Responsibilities- Design and build systems for collecting, transforming, and storing data, leveraging your expertise in Python, SQL, and cloud environments.
- Collaborate with cross-functional teams to architect analytics platforms, debug ETL pipelines, and optimize machine learning models for deployment.
- Take ownership of engineering tasks, driving initiatives and supporting teams when needed.
- 3+ years of experience in data engineering or software engineering, with a strong background in Python and SQL.
- Familiarity with cloud environments, particularly IaaS like AWS and GCP, with bonus points for Azure.
- Experience working with Google and/or Azure stack, including tools like BigQuery, Dataflow, and TensorFlow.
- A strong security-conscious mindset, handling client data while adhering to established protocols.
- Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
- Demonstrated mentorship and project leadership experience, guiding junior engineers and fostering a culture of learning and growth.
- Strong technical documentation skills, with experience writing manuals, proposals, and guidelines.
- A consultative mindset, working closely with clients to understand their challenges and provide strategic recommendations.
- A generalist perspective, eager to explore roles beyond data engineering and connect the dots to drive strategic outcomes.
- Initiative, taking ownership of projects and supporting teams when needed.
Ideal candidates have:
- People management experience, ensuring the well-being of juniors and helping them set development goals.
- Aspirations for people management or project leadership, actively seeking opportunities to grow.
- Competitive compensation package tied to job difficulty, experience, fit, and skill factors.
- Hybrid remote setup, requiring two in-person days a week for collaboration and client engagements.
- An individual professional development budget for sharpening skills and building new ones.
- Full health benefits package upon hiring, with options to include dependents.
- Regular apprenticeship and performance reviews with the leadership team.
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