Sr. Data Analyst

Data Engineer

Location: Dallas, TX, Atlanta, GA (any of two locations can be given), Day1 onsite 3 days work from office, Hybrid (as of now)

Must: Strong SQL database (Oracle, PostgreSQL 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)

• 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

Thanks

*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.