At least two relevant technical certifications across data platforms, cloud, or analytics technologies.

Data Platforms & Architecture

Open table formats: Apache Iceberg, Delta Lake, Apache Hudi

Distributed processing & query engines: Spark, Trino/Presto, Hive

Cost optimization strategies: tiered storage, lifecycle management, workload governance Programming & Analytics

SQL, BTEQ, GCFR

Python (Pandas, NumPy)

BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue

Data ingestion patterns: batch, CDC, streaming

Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

Data modelling, critical data elements, regulatory reporting

Fine-grained data access controls (row-level, column-level, masking)

Metadata management, lineage, and impact analysis

Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

EDUCATION

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience