InfiCare Technologies

Canada

Key Responsibilities:- Design and manage data pipelines to transform and integrate structured and unstructured data.- Ensure high data quality and performance.- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.- Enforce standards for data governance, security, and cost-effective operations.Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.Required Qualifications:- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.- Hands-on experience developing ETL or ELT pipelines.- Experience with cloud-native data services (e.g., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).- Good understanding of data modeling and data warehousing concepts.Desired Qualifications:- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.- Ingest and integrate data from internal and external sources into data lakes or data warehouses.- Ensure that processed data is accurate, complete, and secure.Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.