Data Engineer: Big Data Pipelines (Remote)

Placements24

Noord-Kaap

Hybrid

CAD 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Bonus program
Health benefits
Growth opportunities
Flexible remote work
Cutting-edge data tools

Job summary

Placements24 in Kimberley is seeking a Data Engineer to design, develop and optimize data pipelines and data warehouses, enabling analytics and ML teams to access reliable data. You will work with Spark, Hadoop, Hive and Kafka, and leverage cloud platforms (AWS/Azure/GCP) with services like S3, Redshift and BigQuery.

Strong SQL skills and Python or Scala are required, along with 3+ years in data engineering.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related quantitative field.
  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency with big data technologies such as Apache Spark, Hadoop, Hive, or Kafka.
  • Experience with cloud data platforms (AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery).
  • Strong SQL skills and experience with data warehousing concepts.
  • Proficiency in programming languages like Python or Scala.

Responsibilities

  • Design, build, and maintain scalable and reliable data pipelines using big data technologies (e.g., Spark, Hadoop, Kafka).
  • Develop and manage data warehouses and data lakes, optimizing for performance and cost.
  • Implement ETL/ELT processes to integrate data from various sources.
  • Ensure data quality, integrity, and security across all data platforms.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
  • Monitor data pipeline performance and troubleshoot any issues that arise.

Skills

SQL
Python
Scala

Education

Bachelor's degree in Computer Science, Engineering, or related quantitative field

Tools

Apache Spark
Hadoop
Hive
Kafka
AWS
Azure
GCP
S3
Redshift
BigQuery

Job description

Placements24 in Kimberley is seeking a Data Engineer to design, develop and optimize data pipelines and data warehouses, enabling analytics and ML teams to access reliable data. You will work with Spark, Hadoop, Hive and Kafka, and leverage cloud platforms (AWS/Azure/GCP) with services like S3, Redshift and BigQuery.

Strong SQL skills and Python or Scala are required, along with 3+ years in data engineering.

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