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Senior Data Engineer/Lead-Canada

Company

Zortech Solutions
Address Canada
Employment type FULL_TIME
Salary
Category Human Resources Services
Expires 2023-12-06
Posted at 11 months ago
Job Description
Role: Senior Data Engineer/Lead
Location: Vancouver, BC (PST time zone)
Duration: 6+ Months
JOB Description
  • We are looking for a hands-on, talented DATA ENGINEER - LEAD to join our rapidly expanding team in NA.
Essential Skills And Experience
  • Good communication skills and ability to work as part of a Scrum team & well co-ordinate with development team in different Time Zone.
  • Expertise in full data stack: ETL/ELT, data analysis, storage, data pipelines, Orchestration
  • Hands on experience in relational databases (PL/SQL, Postgres) etc.
  • Experience with Version Control (e.g. GIT, GitHub)
  • Excellent problem solving skills
  • Should be able to manage & co-ordinate 6-8 Data Engineers in India Time Zone
  • Deliver updates to stakeholders based on analytics
  • Cloud Experience (AWS)
  • 8 to 10 years of developing data solutions Refer below Table for tech stack.
  • Good understanding of Data Processing Frameworks (like Spark) Orchestration Frameworks (like Airflow).
Tools
  • Databases: Oracle, Postgres SQL
  • PM Tools & Delivery Model: JIRA, Confluence, AGILE [SCRUM]
  • Big Data: Hive, Spark, Kafka
  • Source Control Tool: GITHUB, GIT
  • Cloud Technologies: AWS (S3, Glue, RDS),
  • ETL Tools: SSIS,
  • Languages/Tools: SQL, PL/SQL, Python, Windows Shell Scripting, AirFlow
Key Job Responsibilities
  • Use large data sets to address business issues
  • Align architecture with business requirement
  • Prepare data for predictive and prescriptive modeling
  • Find hidden patterns using data
  • Develop data set processes
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Work with DE team Mentor & guide data engineers on their deliverables.
  • Data acquisition
  • Develop, construct, test and maintain architectures
  • Use data to discover tasks that can be automated
  • Identify ways to improve data reliability, efficiency and quality
  • Use programming language and tools