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Urgent! Data Engineer - ETL/Python Job Opening In Bengaluru – Now Hiring Gretia Tech Services Private Limited

Data Engineer ETL/Python



Job description

<p><p><b>Data Engineer</b><br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and implement enterprise-grade data warehouse solutions, including developing dimensional and normalized data models from scratch to support reporting, analytics, and machine learning use cases<br/><br/>- Build and maintain star and snowflake schemas, slowly changing dimensions (SCD), and other data modeling patterns aligned with business logic<br/><br/>- Own end-to-end data architecture design, including schema evolution, data quality frameworks, and comprehensive documentation for data models<br/><br/>- Collaborate with analytics and product teams to translate business metrics into data warehouse structures and KPIs<br/><br/>- Design and implement scalable ETL/ELT pipelines for processing large-scale structured and unstructured healthcare datasets across multiple sources<br/><br/>- Build robust data ingestion frameworks to handle real-time and batch data processing from various healthcare systems, IoT devices, and third-party APIs<br/><br/>- Develop and maintain data quality monitoring and validation systems to ensure data integrity and accuracy across the data warehouse<br/><br/>- Implement data governance practices including data lineage tracking, metadata management, and access controls<br/><br/>- Build automated data testing and monitoring pipelines to detect anomalies and ensure SLA compliance<br/><br/>- Collaborate with ML engineers to create feature stores and data pipelines that support machine learning model development and deployment<br/><br/><b>Required Skills and Experience:</b><br/><br/>- 5+ years of experience in data engineering with a strong focus on data warehouse design and implementation<br/><br/>- Proficiency in SQL and database technologies (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift)<br/><br/>- Expert-level experience with data processing frameworks including Apache Spark, PySpark, and distributed computing concepts<br/><br/>- Hands-on experience with ETL/ELT tools and frameworks (Apache Airflow, dbt, Fivetran, or similar)<br/><br/>- Strong experience with cloud data platforms (AWS Data Services, GCP BigQuery/Dataflow, or Azure Data Factory)<br/><br/>- Proficiency in Python and/or Scala for data pipeline development and automation<br/><br/>- Experience with data modeling techniques including dimensional modeling, data vault, and normalization strategies<br/><br/>- Understanding of data governance, security, and compliance requirements, especially in healthcare contexts<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical discipline<br/><br/>- Experience with real-time data processing using technologies like Apache Kafka, Kinesis, or Pub/Sub<br/><br/>- Exposure to HealthTech or Healthcare services domain with understanding of healthcare data standards (HL7, FHIR)<br/><br/>- Experience with data lake architectures and modern data stack implementations<br/><br/>- Familiarity with Infrastructure as Code (Terraform, CloudFormation) for data infrastructure management<br/><br/>- Knowledge of containerization technologies (Docker, Kubernetes) for data pipeline deployment<br/><br/></p><p>Duration: 3-6 Months contract role</p><br/></p> (ref:hirist.tech)


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