
Advanced Data Solutions Specialist
Há 2 dias
Seeking a senior data engineer to join the team and contribute to designing, building, and scaling data and machine learning infrastructure using cloud platforms.
Key Responsibilities:
- Design and develop high-performance data infrastructure for real-time and batch processing of large datasets.
- Build reliable and reusable services and APIs for data ingestion, transformation, and querying.
- Create software tools, products, and systems to monitor and manage ML infrastructure and services.
- Ensure ML systems are running efficiently for model development, training, evaluation, and inference.
- Collaborate with senior management, product management, and engineers to develop data products.
- Develop tools to monitor, debug, and analyze data and ML pipelines.
- Design and implement scalable data schemas and models.
- Mentor team members to strengthen technical expertise.
Required Skills and Qualifications:
- 5+ years of experience as a Data Engineer or MLOps Engineer building platform-level capabilities for data-driven midsize to large corporations.
- Strong programming skills in Python, Java, or Scala, with experience in developing large-scale, fault-tolerant systems.
- Hands-on experience with cloud platforms (GCP preferred, but AWS or Azure acceptable).
- Experience with BigQuery or similar MPP databases (e.g., Redshift, Snowflake).
- Proficiency with ML frameworks such as TensorFlow or PyTorch and knowledge of ML deployment patterns.
- Experience with Docker, Kubernetes, and other container/orchestration tools.
- Solid experience building data pipelines and working with ETL processes.
- Comfortable with command-line tools, Git, and other version control systems.
- Strong communication and collaboration skills.
Nice To Have Skills:
- Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar.
- Experience with DBT (Data Build Tool) and Looker.
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