AWS ETL Data Engineer - REMOTE

NTT
Halifax
Workplace: RemoteFull timeCAD 86,212 - 133,100Function: DevOps, Cloud & InfrastructureExperience: 10+ yearsSkills: ["Ownership","Accountability","Technical leadership","Cross-team collaboration","Stakeholder management"]

Design, develop, and maintain scalable ETL/ELT data pipelines on AWS, including Spark-based processing and Redshift SQL/PLSQL. Build unified customer data views by integrating structured and semi-structured sources across S3, Glue, Lambda, Kafka, Airflow, and Apache Iceberg. Provide query tuning, performance optimization, and production support with root-cause analysis, while supporting data governance, privacy compliance, and Data Subject Requests.

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FursaFursa
NTT
NTT
6 days ago

AWS ETL Data Engineer - REMOTE

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Last checked: 15 hours agoStatus: Live

Job Summary

Design, develop, and maintain scalable ETL/ELT data pipelines on AWS, including Spark-based processing and Redshift SQL/PLSQL. Build unified customer data views by integrating structured and semi-structured sources across S3, Glue, Lambda, Kafka, Airflow, and Apache Iceberg. Provide query tuning, performance optimization, and production support with root-cause analysis, while supporting data governance, privacy compliance, and Data Subject Requests.
Location: Halifax
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting.
  • •Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift.
  • •Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks, including query tuning and performance optimization.
  • •Support ingestion and processing of structured and semi-structured data formats (JSON, CSV, XML, ORC, Parquet, Avro) and troubleshoot data issues.
  • •Provide production support, root-cause analysis, and privacy/data governance support, including Data Subject Requests (DSRs).

Pay and Benefits

Salary: CAD 86,212 - 133,100
Perks:Health InsuranceDentalTelemedicineWellness StipendGym MembershipLife InsuranceDisability InsuranceRetirement SavingsRemote WorkEmployee AssistanceTravel Allowance

Key Requirements

  • •10+ years of experience in Data Warehouse / Big Data ecosystems.
  • •5+ years in a lead/SME role.
  • •5+ years with AWS architecture and data engineering, including S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, and Apache Iceberg.
  • •3+ years with Spark (Scala/Python).
  • •5+ years with SQL/PLSQL and MySQL, including strong data architecture, ETL/ELT frameworks, distributed processing, cloud data platforms, and data governance/security.
Experience:10+ yearsData WarehouseBig DataAWSData engineeringEnterprise dataCloud transformationRegulated industries
Skills:OwnershipAccountabilityTechnical leadershipCross-team collaborationStakeholder management
Tech Stack:AWSS3EC2RedshiftRA3Redshift ServerlessS3 TablesS3 HiveAWS GlueLambdaPythonKafkaAirflowApache IcebergSparkScalaSQLPLSQLMySQLShell scripting

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn