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Data Engineer @ Precognitas Health

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 Data Engineer

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 & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Precognitas Health
Location(s): Noida, Gurugram

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Keyskills:   Airflow Data Pipeline ETL AWS Python S3 RDS Data Engineering Lamda Machine Learning Ml Pipelines Machine learning pipeline

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₹ 10-18 Lacs P.A

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Precognitas Health

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...