Mutt Data - Data Engineer Lead
Requirements
• Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth. • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams. • Experience in Data Engineering, including building and optimizing data pipelines. • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter). • Experience working with any cloud (AWS, GCP, Azure). • Knowledge of Docker. • Experience with orchestration tools like Airflow or Prefect. • Familiarity with ETL processes and automation. • English Advanced Level. • Experience with stream processing tools like Kafka Streams, Kinesis, or Spark. • Knowledge of Kubernetes.
Responsibilities
• Collaborate with the team to define goals and deliver custom data solutions. • Innovate with new tools to improve infrastructure and processes. • Design and implement ETL processes, optimize queries, and automate pipelines. • Own projects end-to-end, working directly with clients. • Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design. • Lead data pipeline development and guide technical decisions. • Act as a liaison between the team and stakeholders, ensuring alignment. • Foster team autonomy while ensuring smooth collaboration. • Contribute to technical research and stay ahead of solutions for future projects. • Focus on code quality—review, document, test, and integrate CI/CD. • Participate in candidate interviews and evaluations to help Mutt grow.
Benefits
• Remote-first culture – work from anywhere! 🌍 • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • In-Company English Lessons. • Birthday off + an extra vacation week (Mutt Week! 🏖️) • Referral bonuses – help us grow the team & get rewarded! • Maslow: Monthly credits to spend in our benefits marketplace. • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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