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Sr. Data Analyst
Plano, TX, USA
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Description
Strong sql database (oracle,postgres or sql server) experience,ETL (Hands on Python) experience,Kafka ,pyspark, azure cloud experience(eventhub ,ADF,databricks,delta lake experience), DevOps/CI-CD (GitHub Actions, Azure DevOps) & Flink , Adobe Experience Platform (AEP) XDM, schema modeling
| Skill Area | Required Skills (Must‑Have) | Nice-to-Have Skills |
| Data Governance | • Understanding of telecom regulatory rules (PII, CPNI, DPI, GDPR, SOX) • Data cataloging tools (Purview, Collibra, Informatica ) • Data classification & metadata management • Data ownership, stewardship frameworks
| • DAMA‑DMBoK framework knowledge •Adobe XDM Governance Mapping • Adobe Real-Time CDP governance integration • Experience with AI‑driven governance automation • Governance workflows (ira) • Data retention policy automation |
| Data Modeling and Sourcing | • Strong conceptual, logical, physical modeling skills • Dimensional modeling (Star/Snowflake) • Normalization/denormalization strategies • Relational modeling for RDBMS (Oracle, SQL Server, PostgreSQL) • SQL proficiency for sourcing, profiling, validation • Data quality profiling on ingested feeds • Schema evolution automation for streaming data | • Knowledge of TM Forum SID / eTOM models • Data Vault modeling • Understanding of telecom data flows & domains (orders, billing ,charging, usage, SIM, provisioning, network events) • Adobe Experience Platform (AEP) XDM schema modeling
|
| Cloud & Storage Platforms | • Cloud data storage: ADLS • Access control management (RBAC, ACLs, Key Vault, IAM) • Understanding of storage zone patterns (Raw, Curated, Processed)
| • Lakehouse technologies (Delta Lake, Iceberg, Hudi) • Multi-cloud governance • Data ingestion tools (ADF, Nifi)
|
| Data Engineering (General) | • ETL/ELT concepts (mapping, transformations, business rules) • Python/SQL at intermediate level • Batch and streaming processing basics • Familiarity with version control (Git)
| • PySpark/Scala • dbt core modeling and testing • Experience with Databricks jobs, pipelines • DevOps/CI-CD (GitHub Actions, Azure DevOps) |
| Streaming & Real-Time Data | • Basics of Kafka or Event Hubs • Understanding real-time vs batch architectural differences
| • Flink/Spark Streaming
|
| Security, Privacy & Compliance | • Data classification & policy enforcement • PII and sensitive telecom data handling • Encryption, masking, data access governance |
|
| Soft Skills & Governance Playbook Execution | • Stakeholder alignment (Business, Marketing, IT) • Ability to translate business rules into data rules • Data stewardship & operational governance | • Change management • Workflow automation for governance processes
|
Education
Any Gradute
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