Senior Data Engineer | AWS | Azure | Databricks | PySpark | Snowflake

Posted via LinkedIn Recruiter (not a company profile)

Posted 22 hours ago

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About the role

  • Senior Data Engineer needed for designing scalable cloud-native data platforms and high-performance ETL/ELT solutions across Canada.

Responsibilities

  • Design and build scalable cloud-native data platforms, modern data lakehouse architectures, and high-performance ETL/ELT solutions across insurance, banking, and financial services domains.

Requirements

  • 5+ years of experience in data engineering; expertise in Azure Data Factory, Databricks, Synapse Analytics, AWS Glue, EMR, Redshift, S3, PySpark, Spark SQL, Snowflake, Apache Kafka, Kinesis, Airflow, dbt, Python, SQL, Delta Lake, Lakehouse Architecture, Data Modeling, CI/CD, Terraform, DevOps, Power BI, AWS QuickSight, and Data Governance tools.

Job title

Job type

Contractor

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AWSAzureDatabricksPySparkSnowflakeAzure Data FactoryAzure Synapse AnalyticsAWS GlueEMRRedshiftS3Spark SQLApache KafkaKinesisAirflowdbtPythonSQLDelta LakeTerraformPower BIAWS QuickSightPurviewCollibraLake Formation

Location requirements

Linkedin Recruiter PostTorontoOntario Toronto

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