
Software Consultant
1 week ago
Core Competencies:
∙Big Data Ecosystem: Cloudera Hadoop, Spark, Hive, Hive on Tez, Impala, Beeline,
Yarn
∙ETL Development & Admin: Informatica PowerCenter (10.5), SQL Loader, PL/SQL
∙Business Intelligence: SAP BO Suite (Webi, IDT, UDT, Deski), Dashboards
∙Scripting & Automation: Unix Shell Scripting (Bash, Korn, AWK), Control-M
∙Databases: Oracle (11g/12c/19c), DB2, Sybase
∙DevOps & Tools: Jira, Git, CI/CD Pipelines, Cloudera Manager, Aldon
∙Data Governance: Data Profiling, Data Quality, Metadata Management
∙Reporting & Compliance: Regulatory Reporting, Risk Analysis, Audit Support
∙Certifications: ITIL Foundation Certified
Key Responsibilities:
1. Data Integration & Migration Projects
∙Led complex data integration efforts to consolidate customer, product, and
transactional data across regions.
∙Designed high-level and low-level solution architectures, functional/technical
specifications, and batch runbooks.
∙Implemented One-Time Load (OTL) frameworks and incremental load mechanisms
for large datasets.
2. Big Data Engineering on Cloudera Hadoop
∙Set up and managed Cloudera CDP clusters with focus on Spark and Hive workload
optimization.
∙Tuned Spark jobs using Yarn and managed memory/executor configurations for
performance.
∙Automated downstream file generations using Beeline and Shell for analytics and
audit teams.
∙Handled Avro and Parquet file formats, performed data transformations in HDFS, and
enabled Hive querying.
3. Regulatory Reporting & Risk Analysis
∙Built and automated ad-hoc reports for various banking compliance regimes
including MAS, HKMA, DFSA.
∙Collaborated with cross-region stakeholders to gather requirements and translate
them into technical specifications.
∙Executed data sampling, complex computation logic, and integration testing for
regulatory data delivery.
4. ETL and Data Mart Development
∙Developed Informatica mappings, sessions, workflows to feed data marts and
analytics layers.
∙Handled historical data loading, data cleansing, and transformation for customer
profiling and segmentation.
∙Integrated scoring models and strategy rules for customer behavior and profitability
assessment.
5. Reporting & Visualization
∙Created interactive dashboards and pixel-perfect reports using SAP Business Objects (Webi,
IDT, UDT).
∙Applied complex calculations, ranking, conditional formatting for insights on customer and
product performance.
∙Migrated legacy reports to centralized BO environments and improved performance and
usability.
Tell employers what skills you haveOracle
Big Data
Hadoop
Informatica
ETL
Data Integration
Data Engineering
Business Objects
SQL
Banking
DB2
Visualization
Metadata
Unix Shell Scripting
Integration Testing
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