Data Engineer

4 weeks ago

Mississauga, Ontario, Canada LHH Full time

LHH is currently working with a client in Toronto, Canada that is looking for Data Engineers. This is a full time, direct hire, hybrid with 3 days in office opportunity. This role requires Hadoop, Spark, Hive, JAVA, Kafka experience.

Responsibilities

  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals and identify and define necessary system enhancements to deploy new products and process improvements.
  • Resolve high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards.
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint.
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation.
  • Statistical modeling of large datasets.
  • Big data architecture troubleshooting.
  • Data curation and conformance work.
  • Streaming/batch processing and event-based messaging.
  • Data manipulation and analysis.

Qualifications

  • 6+ years of relevant experience in Apps Development or systems analysis role.
  • 6+ years experience using tools for statistical modeling of large data sets.
  • 6+ years experience and strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably) or Snowflake.
  • Hands-on experience working with Core SQL, Hive, Impala and HBase, Kudu, Spark for data curation/conformance related work.
  • 6+ years experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event-based messaging.
  • 6+ years experience in JAVA.
  • 6+ years of proven experience as a Data Engineer working with large-scale data platforms.
  • Strong proficiency in PySpark (Python API) and Scala Spark.
  • Expertise in writing complex SQL queries for data manipulation and analysis.
  • Experience with data warehousing solutions and technologies.
  • Solid understanding of data structures, algorithms, and distributed systems.
  • Excellent communication and collaboration skills

Required Skills

  • JAVA
  • Hadoop (Cloudera)
  • Snowflake
  • Core SQL
  • Hive
  • Impala
  • HBase
  • Kudu
  • Spark
  • Spark/Storm/Kafka (or equivalent)
  • PySpark
  • Scala Spark
  • Statistical Modeling Tools
  • Data Warehousing Technologies
  • Data Structures and Algorithms

This role is only available to candidates with an Open work permit, with more than 1 year remaining, Canadian Permanent Resident, or Canadian Citizen.

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