Data Engineer
- Precognitas Health
- 4 - 9 years
- Noida, Gurugram
- 1 day ago
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Job Description
Precognitas Health Pvt. Ltd., a fully owned subsidiary of Foresight Health Solutions LLC, is seeking a Data Engineer to build and optimize our data pipelines, processing frameworks, and analytics infrastructure that power critical healthcare insights.
Are you a bright, energetic, and skilled data engineer who wants to make a meaningful impact in a dynamic environment? Do you enjoy designing and implementing scalable data architectures, ML pipelines, automating ETL workflows, and working with cloud-native solutions to process large datasets efficiently? Are you passionate about transforming raw data into actionable insights that drive better healthcare outcomes?
If so, join us! Youll play a crucial role in shaping our data strategy, optimizing data ingestion, and ensuring seamless data flow across our systems while leveraging the latest cloud and big data technologies.
Required Skills & Experience:
- 4+ years of experience in data engineering, data pipelines, and ETL/ELT workflows.
- Strong Python programming skills with expertise in Python Programming, NumPy, Pandas, and data manipulation techniques.
- Hands-on experience with orchestration tools like Prefect, Apache Airflow, or AWS Step Functions for managing complex workflows.
- Proficiency in AWS services, including AWS Glue, AWS Batch, S3, Lambda, RDS, Athena, and Redshift.
- Experience with Docker containerization and Kubernetes for scalable and efficient data processing.
- Strong understanding of data processing layers, batch and streaming data architectures, and analytics frameworks.
- Expertise in SQL and NoSQL databases, query optimization, and data modeling for structured and unstructured data.
- Familiarity with big data technologies like Apache Spark, Hadoop, or similar frameworks.
- Experience implementing data validation, quality checks, and observability for robust data pipelines.
- Strong knowledge of Infrastructure as Code (IaC) using Terraform or AWS CDK for managing cloud-based data infrastructure.
- Ability to work with distributed systems, event-driven architectures (Kafka, Kinesis), and scalable data storage solutions.
- Experience with CI/CD for data workflows, including version control (Git), automated testing, and deployment pipelines.
- Knowledge of data security, encryption, and access control best practices in cloud environments.
- Strong problem-solving skills and ability to collaborate with cross-functional teams, including data scientists and software engineers.
Compensation will be commensurate with experience. If you are interested, please send your application to jo*s@pr********s.com.
For more information about our work, visit www.caliper.care
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Precognitas HealthLocation(s): Noida, Gurugram
Keyskills: Airflow Data Pipeline ETL AWS Python S3 RDS Data Engineering Lamda Machine Learning Ml Pipelines Machine learning pipeline
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Precognitas Health Pvt. Ltd., is a fully owned subsidiary of Foresight Health Solutions LLC.We are an AI and machine learning-based analytics company driven by a mission to use the power of machine learning to predict and change the future of healthcare services and outcomes amongst the mo...
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