ETL Data Engineer - HYBRID

JOB DESCRIPTION

Req ID: 375278

We are currently seeking a ETL Data Engineer - HYBRID to join our team in Halifax, Nova Scotia (CA-NS), Canada (CA).

Day to Day Responsibilities:

Cloud Data Warehousing & Engineering

· Design, develop, and maintain enterprise cloud data warehouse solutions supporting business, risk, finance, and regulatory reporting needs.

· Build scalable and resilient data ingestion, transformation, and orchestration pipelines using cloud-native technologies.

· Develop and optimize ETL/ELT frameworks for structured, semi-structured, and streaming datasets.

· Enable enterprise reporting and analytics by delivering curated, governed, and trusted datasets.

Data Pipeline Development

· Design and implement batch and near real-time data pipelines.

· Build reusable ingestion frameworks for multiple source systems including:

o Trading platforms

o Risk systems

o Treasury and finance applications

o Core banking systems

o Market and reference data platforms

· Implement metadata-driven and configurable pipeline architectures.

Data Modeling & Warehousing

· Design and implement dimensional models, star schemas, snowflake schemas, and curated data marts.

· Support enterprise data warehouse optimization, partitioning, clustering, and performance tuning.

· Build semantic and consumption-ready datasets for downstream analytics and reporting.

Cloud Platform Engineering

· Develop solutions leveraging cloud-native platforms such as:

o AWS / Azure / GCP

o Snowflake / Databricks

o Cloud storage and compute services

· Implement scalable processing frameworks and distributed compute patterns.

Data Quality, Governance & Security

· Implement data quality checks, reconciliation controls, lineage, and observability frameworks.

· Ensure compliance with banking regulatory, security, and governance requirements.

· Support enterprise metadata management and lineage tracking.

· Apply secure access models and data masking standards for sensitive financial data.

Performance Optimization

· Optimize warehouse performance, compute utilization, and storage costs.

· Improve query performance, data refresh SLAs, and pipeline reliability.

· Implement partitioning, indexing, clustering, and workload optimization techniques.

DevOps & Automation

· Build CI/CD pipelines for data engineering deployments.

· Automate testing, deployment, monitoring, and operational support processes.

Basic Qualifications:

· 6+ years of overall experience in data engineering, data warehousing, or cloud data platform development.

· 6+ Years of Strong hands-on experience in:

o SQL (advanced)

o Python / Spark / Scala

o ETL/ELT frameworks

o Data modeling and warehousing concepts

· 6+ Years of Experience with at least one major cloud data platform:

o Snowflake

o Databricks

· 6+ Years of Experience building enterprise-scale data pipelines and ingestion frameworks.

· 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, dbt, Kafka, Informatica, Talend

· 6+ Years of DevOps & Automation: Git, CI/CD, Terraform, Docker, Kubernetes

· 6+ Years of Data Governance: Lineage, Metadata, Data Quality, Data Reconciliation

Travel: Hybrid Position in Halifax, Nova Scotia Canada (3 days in NTT DATA office)

Degree: Bachelors in Computer Science or equivalent work experience

NTT DATA provides a reasonable range of compensation for Canada-based positions. The starting pay range for this role is $96,330 - 160,550. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered is temporary, the position will not be eligible for incentive compensation.

#LI-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.