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Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing)

Astra-North Infoteck · Toronto, Ontario, Canada

About Astra-North Infoteck

317 open jobs

Weak hiring record · median 82 days open

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Open 94 days · How we score

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  • Open 94 days
  • 61% of this employer's openings are over 60 days old

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Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing) at Astra-North Infoteck. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Senior Data Engineer | AWS Cloud | Big Data | ETL | Netezza | Spark | Kafka | Data Platform Modernization

Job Summary

The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing.

This role involves working on data platform modernization, cloud migrations, Data Warehousing, and ETL in a fast-paced enterprise environment.

Required Technical Skills

Cloud Technologies

Strong experience in AWS Cloud services

  • EMR
  • EC2
  • S3
  • VPC
  • RDS
  • Redshift
  • AWS Glue
  • IAM
  • CloudWatch
  • CloudFormation

Experience with

  • Airflow (or AWS Managed Workflows)

Databases

Experience working with

  • Netezza (Mandatory)

SQL-based systems

  • SQL Server
  • PostgreSQL

Data warehouses

  • Teradata
  • Redshift
  • Netezza

ETL Tools

Hands-on experience with

  • SSIS
  • Pentaho or similar ETL tools

Programming & Scripting

Strong proficiency in

  • SQL
  • Shell scripting

Good to have

  • Python

Operating Systems

  • Strong experience in Unix/Linux environments.

Key Qualifications

  • 10+ years of experience in Data Engineering / Big Data / Platform Engineering.

Key Responsibilities

  • Design, develop, maintain, and support scalable data pipelines using Big Data and AWS technologies.
  • Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background.
  • Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar.

Implement and manage AWS services such as

  • EMR
  • S3
  • EC2
  • Redshift
  • Glue
  • Airflow
  • Build and optimize data workflows and orchestration pipelines using Airflow.

Work with real-time streaming technologies such as

  • Kafka
  • Spark Streaming
  • Perform data ingestion, transformation, and validation from multiple data sources.
  • Optimize SQL queries for performance and scalability.
  • Monitor system performance, troubleshoot issues, and ensure system reliability.

Collaborate with cross-functional teams including

  • Developers
  • Architects
  • Infrastructure teams.

Skills

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