Sr System Analyst - Data Activation Engineer, Enterprise Data & AnalyticsConsolidated Edison Company of New York • United States
Sr System Analyst - Data Activation Engineer, Enterprise Data & Analytics
Consolidated Edison Company of New York
- United States
- United States
À propos
Design and build data integration pipelines that move data reliably from source systems and middleware into the target analytics platform (primarily Google Cloud Platform; other platforms are Azure Databricks & C3.ai) Define and maintain data contracts that set clear expectations for schema, frequency, quality, and ownership between producers and consumers Produce functional and technical interface designs, including source-to-target mappings, transformation logic, and field-level specifications Evaluate data sensitivity and classification requirements, applying the right controls for protected, confidential, or regulated data Select integration patterns and methodologies (batch, streaming, API-based, CDC, etc.) that fit the use case and align with supported platform capabilities Partner with solution engineers, source system owners, and business SMEs to translate use case requirements into concrete data delivery plans Validate data integrity end to end through reconciliation checks, row counts, checksums, and other verification techniques Build monitoring and observability into every interface, with alerting on freshness, completeness, schema drift, and failure conditions Troubleshoot pipeline issues and lead root cause analysis when data arrives late, incomplete, or malformed Document interfaces, lineage, and operational runbooks so that pipelines remain supportable and auditable over time Qualifications Required Education/Experience
Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 2 years relevant full time work experience or Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 3 years relevant full-time work experience Relevant Work Experience
Hands-on experience designing and building data integration pipelines across batch, streaming, API, and change data capture patterns, with one or more of: Azure Data Factory, SSIS, Google Cloud data integration services (Dataflow, Dataform, Data Transfer Service, gcloud CLI), or comparable tooling, required Strong background in source to target mapping, schema design, and writing technical specifications that engineers and analysts can both work from, required Working knowledge of modern data platforms and integration tooling, with the judgment to match the right pattern to the right use case, required Track record of partnering across solution engineers, source system owners, and business SMEs to turn fuzzy requirements into reliable, production-grade data delivery, required Practical understanding of data sensitivity, classification, and handling requirements, including how to apply controls for protected or regulated data, preferred Experience defining and operationalizing data contracts, including schema versioning, ownership boundaries, and quality expectations between teams, preferred Proven ability to implement monitoring and observability on data pipelines, covering freshness, completeness, schema drift, and failure alerting, preferred Skills and Abilities
Strong written and verbal communication skills Possesses flexibility to work in a fast paced, dynamic environment Ability to work within tight timeframes and meet strict deadlines Demonstrated problem solving skills Effective interpersonal skills Ability to drive multiple projects to successful completion Demonstrated time management and priority setting skills Ability to drive multiple projects to successful completion Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications
Driver's License Required Other: Technical certification(s) in IT Preferred Other: Google Professional Data Engineer Preferred Other: Google Associate Data Practitioner Preferred Other: Databricks Associate Data Engineer Preferred Other: Databricks Professional Data Engineer Preferred Physical Demands
Sit or stand to use a keyboard, mouse, and computer for the duration of the workday Additional Physical Demands
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Available to work off hours as operationally required
Compétences linguistiques
- English
Avis aux utilisateurs
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