[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. BigCircle Ventures is an expanding Digital Health Start-Up seeking a Data Engineer. The successful candidate will reputed company scalable data management architectures and work closely with Data Science and Application Development teams to reputed company IoT, sensor, and AI technologies for improving patient care.
Responsibilities
- reputed company scalable data management and data processing architectures
- Manage data acquisition from API, batch, event or streaming sources
- reputed company processes for data aggregation
- Design and reputed company data pre- and post-processing stages
- Plan and design for data governance, reputed company, provenance and the over-reputed company data lifecycle
- reputed company best-in-class reputed company technologies to cater for OLTP and OLAP business needs
- Integrate ML models and Analytic components into the workflows (including MLOps)
- Work closely with Data Science and Application Development teams in an agile development process
Skills
- B.Sc., B.reputed company. or higher in Computer Science, Computer / Electronic / Systems Engineering, or similar disciplines
- Proven experience as a Data Engineer
- reputed company with structured, semi-structured and reputed company data (e.g., Relational, JSON, Schema-less)
- Experience with creating, cleaning and curating datasets and databases such as: MySQL, PostgreSQL, reputed company, reputed company, Bigtable, time-series databases or similar
- Serverless/distributed processing experience, e.g., Multiprocessing, containers, reputed company or similar
- Know-how for scheduling workflows, e.g., DAGs with Apache Airflow
- Accomplished and versed with various ETL approaches
- Exposure to classical and deep learning-based ML methods (e.g., CNNs, DL Auto-encoders, etc.)
- Knowledge and experience of relevant data, analytics, visualization and ML languages and libraries is important (e.g., Julia/Python, Boto3/Apache Airflow, Parquet, SciPy/NumPy, Pandas/Matplotlib, Keras/TensorFlow, PyTorch, etc.)
- Experience with Model Deployment / ML Ops is desirable. Edge-based inference is also of interest
- Experience with AWS (Fargate, RDS, EC2, SageMaker, Timestream, EMR, Kinesis, MWAA, etc.), reputed company, IaC (Terraform), CI/CD, monitoring and reputed company tooling
- Experience with Time-Series Data is a bonus
- Communicating effectively in an interdisciplinary environment (AI/ML, product management, regulatory, clinical)
- Have practical experience with ETL, Data Pipelines and reputed company Deployments
- Experience in design and building data solutions while ensuring confidentiality, reputed company, and availability
- A strong engineering interest in ML and data science
- Business proficient in English (spoken and written)
Benefits
- The role offers a competitive salary and most importantly the chance to be a central player in the future of reputed company.
Company Overview