Senior Data Engineer Aws Redshift Jobs in British Columbia

A minimum of 5 + years’ experience in progressive data engineering roles.

5+ years’ experience in Python for data and analytics.

Knowledge of best practices in enterprise-wide database implementation, availability, and security configuration

Expert knowledge in SQL, ETL architecture, data architecture and BI architecture.

Plan, coordinate, develop and support data model development, including architecting table structure, building ETL process, documentation, and long-term preparedness.

Provide production support for existing data pipelines.

Champion the implementation of modern data management methodologies and skills across PressReader’s engineering team

Team management or tech lead experience

Oversee the creation and management of an organization-wide data catalog

Analyze corporate data, design and manage the development of data analytics and other data management solutions

Lead organizational strategy for management of sensitive data

Work closely with the CTO and Product Manager, Data to envision, design, and communicate PressReader’s next-generation data architecture

Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)

Other perks and wellness benefits like discount programs, and gym/studio access.

Tuition assistance and weekly hot skill development opportunities

Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

Analyzes scope of alternative solutions and makes decision about area implementation based on their experiences and technical expertise.

Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms

Facilitate fast and efficient data migrations through a deep understanding of design, mapping, implementation, management, and support of distributed data pipelines.

You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.

Design, document, and lead development of end-to-end data product pipelines

Prepare data mapping, data flow, production support, and pipeline documentation for all projects.

You have productionized real-time data pipelines through EDA leveraging Kafka or a similar service.

You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms

Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.

Analyzes scope of alternative solutions and makes decisions about area implementation based on his/her experience and technical expertise.

Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

5+ years' experience in data preparation, data gateway, and data warehousing projects

3+ years' experience with Apache Superset, Apache Airflow, Spark and understanding on how these technologies work internally

Strong experience in data manipulation with Python

Experience with database management systems, such as SQL and NoSQL databases.

Collaborate closely with internal teams, including the Registry and Data Science teams, to gather requirements and implement system enhancements.

Experience in data engineering, including data integration, processing, and manipulation.

Proven experience in developing and implementing machine learning algorithms and data processing.

Experience with deploying and managing machine learning models in production environments.

Excellent problem-solving skills and ability to work collaboratively with other team members.

·Experience with data pipeline and workflow management tools e.g. Airflow, Jenkins etc.

Experience: 7 to 12 years

7-12 years of developing data solutions Refer below Table for tech stack and key responsibilities.

Hands on experience in relational databases (PL/SQL, Postgres) etc.

Experience with Version Control (e.g. git, github)

Align architecture with business requirement.