Data Engineer with GCPHealthcare exp is must - W2
Data Engineer with GCPHealthcare exp is must - W2
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INR INR 4500000 - 5000000
1 Vacancy
Job Description
Overview
Key Responsibilities
- Design build and maintain scalable data pipelines in GCP.
- Integrate diverse healthcare data sources and formats.
- Implement ETL processes to extract transform and load data efficiently.
- Collaborate with data scientists and analysts to understand data requirements.
- Optimize data storage solutions using BigQuery and other GCP tools.
- Develop data models that support analytics and reporting.
- Ensure compliance with healthcare data regulations and privacy standards.
- Monitor data pipeline performance and troubleshoot issues.
- Document data architecture and maintenance processes.
- Utilize SQL and Python for data manipulation and transformation.
- Implement data governance practices to ensure data quality.
- Participate in code reviews and contribute to team knowledge sharing.
- Work with stakeholders to gather requirements and deliver data solutions.
- Evaluate and adopt new technologies to enhance data capabilities.
- Support machine learning initiatives with wellstructured datasets.
- Stay updated on healthcare data trends and innovations.
Required Qualifications
- Bachelors degree in Computer Science Information Technology or a related field.
- Minimum of 3 years of experience in data engineering particularly within the healthcare domain.
- Proven experience in Google Cloud Platform tools and architecture.
- Strong proficiency in SQL and data manipulation languages.
- Experience with ETL tools and data integration techniques.
- Solid understanding of data governance and data quality metrics.
- Proficiency in Python or other programming languages for data processing.
- Familiarity with BigQuery Cloud Storage and Dataflow.
- Experience working with healthcare data types and standards (e.g. HL7 FHIR).
- Strong analytical and problemsolving skills.
- Excellent verbal and written communication abilities.
- Ability to collaborate effectively with interdisciplinary teams.
- Strong attention to detail and commitment to data accuracy.
- Experience with data visualization tools is a plus.
- Knowledge of machine learning concepts is an advantage.
healthcare,gcp,cloud storage,python,data quality metrics,bigquery,data modeling,sql proficiency,etl processes,google cloud platform (gcp),sql,data governance,dataflow
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
