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Sr. Data Engineer/Architect

9 hours ago

Toronto, Ontario, Canada E-Solutions Full time

Role : Sr. Data Engineer/architect

Location : Toronto (Fully onsite)

Payrate CAD 60

Technical Skills


• Databricks / Spark (SQL & PySpark) : Delta Lake, Structured Streaming, performance tuning.


• Snowflake : SQL, warehouses, tasks/streams, dynamic tables, role-based access.


• Databases: Oracle / SQL Server Strong SQL development, data extraction, CDC/migration patterns.


• Data Modeling : Dimensional modeling, 3NF, SCD types, time-series/event modeling.


• Orchestration : Databricks Workflows, Airflow, ADF.


• Security & Governance : IAM, RBAC, data masking/tokenization, encryption practices

Responsibilities

Data Engineering & Pipeline Development


• Build, maintain, and optimize ETL/ELT pipelines (batch, streaming) using Databricks, Spark, SQL and PySpark.


• Implement Delta Lake–based architectures, CDC patterns, and reusable pipeline frameworks (configuration driven IO, logging, metrics, error handling).


• Develop and maintain streaming data pipelines using Structured Streaming or other streaming frameworks.

Data Modeling & Quality


• Implement conceptual, logical, and physical data models provided by the Data Architect.


• Apply modeling patterns such as dimensional modeling (star/snowflake), SCDs, 3NF.


• Build data quality checks, profiling routines, schema validation, and monitoring.

Data Platforms & Integration


• Develop and deploy pipelines across Databricks, Snowflake, and relational databases (Oracle, SQL Server).


• Implement ingestion frameworks for APIs, files, databases, and streaming sources.


• Work with orchestration tools such as Databricks Workflows, Airflow, ADF.

Security, IAM & Compliance


• Apply IAM principles including RBAC, fine grained access control, and secure data handling.


• Implement data masking, tokenization, and encryption based on organizational standards.


• Ensure compliance with regulatory/security frameworks (GDPR, DPDP, PCI, KYC/AML awareness).

Collaboration & DevOps


• Work with Data Architects to align pipeline designs with reference architecture (lakehouse, streaming, CDC).


• Contribute to CI/CD pipelines for automated deployments and dataset/catalog registrations.


• Collaborate with analysts, scientists, and business stakeholders for data delivery and enhancements.

.

Soft Skills


• Strong problem-solving and debugging skills.


• Ability to work in cross-functional teams with architects, analysts, and business stakeholders.


• Excellent communication and documentation abilities.