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Tricog Health - Data Engineer - SQL / ETL
Tricog Health India Private Limited
Bangalore
15 days ago
Job description
Responsibilities :
Design, develop, and optimize complex SQL queries to transform and extract insights from large datasets.
Build and maintain scalable ETL pipelines using Python to ingest, process, and load data from various sources into our data lake and data warehouse.
Implement best practices for data governance, data quality, and data security.
Work with massively parallel processing (MPP) data warehouses like BigQuery, Redshift, and Snowflake to manage and analyze large datasets efficiently.
Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust data solutions.
Set up and build data sources for dashboards to minimize repetitive ad-hoc data requests.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Document data workflows, ETL processes, and system architectures.
Stay current with the latest data engineering technologies and methodologies to continuously improve our data infrastructure.
Work within AWS or GCP environments; experience with multi-cloud environments is preferred.
Develop and maintain data models using dbt (data build tool) to ensure consistency, quality, and efficiency in data transformations.
Evaluate proof of concepts with new data solutions to improve existing architecture.
Requirements :
Proven experience in writing and optimizing complex SQL queries.
Strong proficiency in Python for ETL pipeline development.
Experience with docker containerization and Kubernetes for pipeline orchestration.
Experience with any MPP data warehouses such as BigQuery, Redshift, and Snowflake.
Experience working with cloud platforms such as AWS and GCP; multi-cloud experience is a plus.
Experience with data flow orchestration tools like Apache Airflow or Dagster.
Experience with data modeling and transformation using dbt (data build tool).
Solid understanding of data warehousing concepts, data modeling, and data architecture.
Knowledge of data governance, data quality, and data security best practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with data catalogs and data lineage tools would be a plus
ref :
hirist.tech)
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