Senior Consultant - Data Engineer (Data Conversion & Reconciliation)
Deloitte View all jobs
- Canada
- $80,000-138,000 per year
- Permanent
- Full-time
- Lead data mapping, migration, and validation activities to ensure seamless data conversion processes.
- Analyze and document business requirements, operational processes, and test cases related to data conversion and reconciliation.
- Collaborate with technical and business stakeholders to define integration points and data flows.
- Develop and maintain detailed process documentation, including requirements specifications and test plans.
- Utilize SQL, Excel, and other data analysis tools to perform data validation, reconciliation, and quality checks.
- Support system integration and user acceptance testing, troubleshooting issues as they arise.
- Provide subject matter expertise on asset classes, trade lifecycle, portfolio accounting, and performance measurement.
- Work closely with cross-functional teams to ensure alignment on data conversion and operational workflows.
- 5+ years of strong Python or Scala programming skills (Core Python and PySpark)
- 5+ years of experience with building and optimizing 'big data' pipelines, architectures, and data sets. Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT Kafka).
- Strong experience implementing solutions on Snowflake
- Proven experience as a Business Analyst in data conversion, migration, and reconciliation projects.
- Strong understanding of data models, integration points, and operational workflows in financial services.
- Prior experience with BlackRock Aladdin is highly advantageous.
- Familiarity with asset classes, trade lifecycle, portfolio accounting, and performance measurement.
- Top technical / programming skills - Python, Java or Scala, Hadoop Suite, Cloud Data Platforms Preferably Snowflake/Databricks and SQL. Experience working with flat files, Database API sources is a must to both ingest and create transformations.
- Proficient in SQL, Excel, and data analysis tools.
- Strong documentation skills, including requirements, process, and test documentation.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Bachelor's degree in Computer Science, Information Systems, Finance, or a related field.
- Experience in deployment, maintenance, and administration tasks related to Cloud (Azure Preferred), OpenStack, Docker, Kafka and Kubernetes
- Experience with large-scale system implementations in the asset management or financial services industry.
- Knowledge of regulatory requirements and industry best practices in data management and reconciliation.
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