Description

Job Title: Data Engineer

Location : Halifax, Nova Scotia, Canada (Hybrid Onsite Role-3 days in NTT DATA office per week)

Duration : 6-9+ Months Contract

Teams Meeting Interview

Job Description:


Day to Day job Duties: (what this person will do on a daily/weekly basis

)
Cloud Data Warehousing & Engineeri

  • ng
    Design, develop, and maintain enterprise cloud data warehouse solutions supporting business, risk, finance, and regulatory reporting nee
  • ds.Build scalable and resilient data ingestion, transformation, and orchestration pipelines using cloud-native technologi
  • es.Develop and optimize ETL/ELT frameworks for structured, semi-structured, and streaming datase
  • ts.Enable enterprise reporting and analytics by delivering curated, governed, and trusted datase

ts.
Data Pipeline Develop

ment
Design and implement batch and near real-time data pipel

ines.Build reusable ingestion frameworks for multiple source systems inclu

  • ding:Trading plat
  • formsRisk sy
  • stemsTreasury and finance applica
  • tionsCore banking sy
  • stemsMarket and reference data plat

forms
Implement metadata-driven and configurable pipeline architec

tures.
Data Modeling & Ware

  • housing
    Design and implement dimensional models, star schemas, snowflake schemas, and curated dat
  • a marts.Support enterprise data warehouse optimization, partitioning, clustering, and performance
  • tuning.Build semantic and consumption-ready datasets for downstream analytics and re

porting.
Cloud Platform En

gineering
Develop solutions leveraging cloud-native platform

  • s such as:
    AWS /
  • Azure / GCPSnowflake /
  • DatabricksCloud storage and compu

te services
Implement scalable processing frameworks and distributed compu

te patterns.
Data Quality, Governance &

  • amp; Security
    Implement data quality checks, reconciliation controls, lineage, and observabili
  • ty frameworks.Ensure compliance with banking regulatory, security, and governance
  • requirements.Support enterprise metadata management and lin
  • eage tracking.Apply secure access models and data masking standards for sensitive f

inancial data.
Performan

  • ce Optimization
    Optimize warehouse performance, compute utilization, an
  • d storage costs.Improve query performance, data refresh SLAs, and pipel
  • ine reliability.Implement partitioning, indexing, clustering, and workload optimiza

tion techniques.
DevOps

  • & Automation
    Build CI/CD pipelines for data engine
  • ering deployments.Automate testing, deployment, monitoring, and operational

support processes.
Basic Qualifications: (what are the skills required to this job with minimum years of

experience on each)
· Seeking a Data Engineer to join the Cloud Data Warehousing team responsible for building scalable, secure, and high-performance enterprise data platforms in the cloud. This role will focus on designing and implementing modern cloud-native data pipelines, data warehousing solutions, and ingestion frameworks that enable analytics, regulatory reporting, risk management, finance, and business intelligence capabilities ac

ross the enterprise.
· 6–10+ years of overall experience in data engineering, data warehousing, or cloud data

platform development.
· 6+ Years of Strong h

  • ands-on experi
  • ence in:
    SQL (advanced
  • )Python / Spark /
  • ScalaETL/ELT frameworksData modeling a

nd warehousing concepts
· 6+ Years of Experience with at least one ma

  • jor cloud
  • data plat

form:
SnowflakeDatabricks
· 6+ Years of Experience building enterprise-scale data pipelines

and ingestion frameworks.
· Strong understanding of data wareh

ouse architecture patterns.
· 6+ Years of Languages & Processing:

SQL, Python, PySpark, Scala
· 6+ Years of Cloud & Warehousing: AWS, Azure, Snowflake,

Databricks, Redshift, Synapse
· 6+ Years of Data Engineering Tools: Airflow, d

bt, Kafka, Informatica, Talend
· 6+ Years of DevOps & Automation: Git, CI/CD

, Terraform, Docker, Kubernetes
· 6+ Years of Data Governance: Lineage, Metadata, D

ata Quality, Data Reconciliati

on
Nice to Have; (But not a must)
· The ideal candidate will have strong expertise in cloud data platforms, ETL/ELT engineering, data modeling, and enterprise data integration, with experience working in regulated financial services environments. The role requires close collaboration with architecture, analytics, risk, finance, operations, and application teams to

  • modernize enterprise data ecosystem
    Experience in Banking / F
  • inancial Service
  • s / Capital Markets.Experience with:Airfl
  • ow / Control-M / cloud orche
  • strationKafka or streaming
  • platformsTerraform / CloudFormationGi
  • tHub Actions / Jenkins / CI-CD toolsExposure to lakehouse

and modern data mesh architectures.