Sr Data Engineer

Vaco by Highspring; Montreal; On-site; CAD 90,000 - 140,000; Full time

Job summary

A leading company in technology recruitment is seeking a Director to manage data pipelines, engage with stakeholders, and support data infrastructure needs. The ideal candidate will have over eight years of experience in software engineering and data management, particularly within cloud environments. This full-time role offers a competitive salary and engagement with innovative technologies in a dynamic consulting environment.

Qualifications

• A minimum of 8 years industry experience with data.
• Experience working with business teams to translate requirements.
• Strong software engineering background.

Responsibilities

• Design, implement, and maintain data pipelines.
• Work with stakeholders to assist with data-related issues.
• Conduct business and functional requirements gathering.

Skills

Strong Experience with PySpark

Strong Experience with Databricks

Strong experience in AWS/Azure ecosystem

Excellent communication ability

Experience supporting cross-functional teams

Job description

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Director - Technology Recruitment @ Vaco

Location - Toronto, ON/Montreal,QC

Must have requirement(s)

• Design, implement, and maintain data pipelines with complex data transformations?;
• Assemble large, complex data sets that meet functional / non-functional business requirements?;
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs;
• Experience working with business teams to translate functional requirements into technical requirements;
• Conduct business and functional requirements gathering and provide projects estimates;
• Excellent communication ability - you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked;
• Experience supporting and working with cross-functional teams in a dynamic environment;
• Strong software engineer background;
  

Technologies required

• Strong Experience with PySpark,
• Strong Experience with Databricks
• Strong experience in AWS/Azure ecosystem
• A minimum of 8 years industry experience working with data, coding and scripting in Python/Java/Scala/SQL/JS/Bash, design and testing
• Good experience with major Big Data technologies and frameworks including but not limited to Hadoop, HIVE, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
• Experience with relational SQL and NoSQL databases, including Oracle, Postgres and Cassandra.
  

Other requirements

• Knowledge of data visualization best practices and cloud warehouses (i.e. Snowflake, Redshift) would be an asset

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting

• Industries

  Insurance Agencies and Brokerages

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