Data Engineer
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Data Engineer - AarogyaTech
About AarogyaTech
We are a passionate group committed to making healthcare accessible by enabling effortless self-monitoring early intervention and preventive care through advanced technology. Our solutions deliver medical-grade data and intelligent decision support to healthcare providers.
Customer obsession is in our DNA. Every product design and algorithm is crafted with deep focus on user needs and convenience. At AarogyaTech we thrive on ownership customer-centricity integrity and the drive to challenge the status quo.
If you are passionate about defying conventions and building something extraordinarylets talk.
Our Vision
To build the worlds most trusted health platformextending healthspan through medical-grade health data intelligent insights and connected care available anytime and anywhere.
Our Values
We foster a culture grounded in collaboration transparency and open communication. Hierarchies fade individuality thrives and every team member is empowered to contribute their best while shaping a meaningful career.
Key Responsibilities
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Design and implement enterprise-grade data warehouse solutions including developing dimensional and normalized data models from scratch.
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Build and maintain star and snowflake schemas slowly changing dimensions (SCD) and other advanced data modeling patterns.
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Own end-to-end data architecture design including schema evolution data quality frameworks and thorough data model documentation.
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Partner with analytics and product teams to convert business metrics into scalable warehouse structures and KPIs.
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Design and implement scalable ETL/ELT pipelines for large structured and unstructured healthcare datasets.
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Build robust data ingestion frameworks supporting real-time and batch processing from healthcare systems IoT devices and APIs.
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Develop and maintain data quality monitoring and validation systems to ensure accuracy and integrity.
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Implement data governance practices including lineage tracking metadata management and data access controls.
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Build automated data testing and monitoring pipelines to detect anomalies and ensure SLA adherence.
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Collaborate with ML engineers to create feature stores and pipelines supporting ML model development and deployment.
Required Skills & Experience
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6-8 years of hands-on experience in data engineering with strong expertise in data warehouse design.
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Strong proficiency in SQL and database technologies: PostgreSQL MySQL Snowflake BigQuery Redshift.
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Expert-level experience with data processing frameworks such as Apache Spark PySpark and distributed computing concepts.
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Hands-on experience with ETL/ELT frameworks: Apache Airflow dbt Fivetran etc.
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Strong experience with cloud data platforms (AWS GCP Azure).
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Proficiency in Python and/or Scala for pipeline development and automation.
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Expertise in data modeling techniques: dimensional modeling data vault normalization.
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Understanding of data governance security and complianceespecially within healthcare.
Preferred Qualifications
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Bachelors degree in Computer Science Data Engineering Information Systems or related field.
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Experience with real-time data processing: Kafka Kinesis Pub/Sub.
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Exposure to HealthTech or Healthcare domains with knowledge of HL7 FHIR standards.
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Experience with data lake architectures and modern data stacks.
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Familiarity with IaC tools: Terraform CloudFormation.
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Knowledge of containerization technologies: Docker Kubernetes.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
