Data Engineer
2 weeks ago
Key Responsibilities
- Design, develop, and maintain
ETL pipelines
for processing, transforming, and integrating large-scale
Asset Management
and
performance data
. - Analyze and map
data flows
across asset management systems to ensure accuracy, consistency, and traceability. - Work with cross-functional teams to identify data requirements and implement efficient
data transformation logic
. - Leverage
AI-based data transformation tools
to optimize data ingestion, quality, and enrichment. - Implement scalable solutions using
Python, SQL, or C#
for data extraction, cleansing, and automation. - Collaborate with business analysts, data architects, and domain experts to ensure alignment with data governance and compliance standards.
- Troubleshoot data issues, perform root cause analysis, and propose sustainable resolutions.
Required Skills & Qualifications
- Strong knowledge of
Asset Management data
and
investment performance metrics
. - Hands-on experience with
ETL processes
and
data transformation tools
(Informatica, Alteryx, Talend, or AI-based equivalents). - Proficiency in at least one programming language:
Python, SQL, or C#
. - Experience with
data modeling, validation, and transformation logic
. - Understanding of
data quality frameworks
,
metadata management
, and
data lineage
concepts. - Strong analytical and problem-solving skills, with the ability to work in fast-paced environments.
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