LP
Data Warehouse Tester / Developer
LinkedIn Recruiter Post
Hiring Data Warehouse Tester/Developer in Toronto, ON (Hybrid). Requires 6 - 8 years exp in Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.
About the role
- Senior Engineer on Data Platform team designing and building systems for data flow at Movable Ink. Collaborating with engineering, analytics, and infrastructure teams to power data ingestion and processing.
Responsibilities
- Support the design and delivery of data ingestion pipeline and infrastructure
- Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
- Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
- Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
- Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
- Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
- Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
- Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
Requirements
- Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
- Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
- Strong familiarity with SQL with the ability to write and optimize queries
- Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
- Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
- Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
- Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
- Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
- (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
- (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
- (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar.
Benefits
- full range of medical, financial, and/or other benefits
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LP
Senior DataOps / Cloud Data Engineer
LinkedIn Recruiter Post
Senior DataOps / Cloud Data Engineer contract in Toronto, ON. Requires Python, SQL, PySpark, Databricks, AWS Glue, Lambda, Step Functions, S3, Informatica IDMC, ADF, and ETL/Data Engineering.