Retail Services WIS Corporation DBA WIS International

Retail Services WIS Corporation DBA WIS International

Data Engineer

PLANO, TX, US · Full-time

Sponsorship not specifiedDetected 1 day ago
PythonC#GitSQLNoSQLPostgreSQLMongoDBCassandraAWSGCPAzureCloud PlatformsDevOpsKafkaMachine LearningSparkAirflowData EngineeringData VisualizationMLOpsComplianceAgileCommunicationCollaboration

About the role

  • We are seeking a highly skilled Senior Data Engineer to join our team; In this role, you will design, develop, and maintain robust and scalable SQL Server databases in Azure.
  • The ideal candidate will have deep expertise in T-SQL, Azure SQL Database, performance tuning, and data integration, with a strong understanding of cloud-based data architecture and DevOps practices.
  • Additionally, you will need to design, build, and maintain scalable data pipelines and infrastructure to support mission-critical runtime applications, including data ingest, consumption, and ETL.

Responsibilities

  • Design, develop, and optimize complex T-SQL queries, stored procedures, views, and functions.
  • Expertise in T-SQL: Design, develop, and optimize complex T-SQL queries, stored procedures, views, and functions.
  • Data Pipeline Development: Design, develop, and optimize robust, scalable, and fault-tolerant data pipelines to process structured and unstructured data at scale.
  • Performance Optimization: Optimize data systems for performance, cost-efficiency, and scalability, ensuring low-latency access to data for analytics and applications.
  • Collaboration: Partner with software engineers, project managers, and other stakeholders to understand data needs and deliver solutions that enable low-latency, high availability, eventually consistent consumption patterns.
  • Data Quality: Implement data validation, monitoring, and governance frameworks to ensure data accuracy, consistency, and compliance with privacy and security standards.
  • Design, develop, and optimize robust, scalable, and fault-tolerant data pipelines to process structured and unstructured data at scale.
  • Partner with software engineers, project managers, and other stakeholders to understand data needs and deliver solutions that enable low-latency, high availability, eventually consistent consumption patterns.

Requirements

  • Work is primarily sedentary: must be able to sit for extended periods of time and use a computer, keyboard, and mouse, frequently.

Nice to have

  • Microsoft Certified: Azure Data Engineer Associate or similar certification.
  • Knowledge of Python or C# for data-related scripting.
  • Experience in Agile/Scrum environments.
  • Familiarity with data governance, compliance, and privacy regulations (e.g., SOC, NIST, GDPR, CCPA).
  • Contributions to open-source data projects or relevant certifications.
  • Working Conditions: Work is primarily sedentary: must be able to sit for extended periods of time and use a computer, keyboard, and mouse, frequently.
  • Please note that this Job Description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job.
  • Duties, responsibilities, and activities may change at any time with or without notice.

Skills

  • Strong proficiency in T-SQL and query optimization.
  • Experience with Azure Data Factory, Logic Apps, and Azure Functions.
  • Familiarity with DevOps practices and tools (e.g., Azure DevOps, Git).
  • Expertise in SQL and experience with relational and NoSQL databases (e.g., MSSQL Server, PostgreSQL, MongoDB, Cassandra).
  • Strong experience with big data technologies (e.g., Hadoop, Spark, Flink) and cloud platforms (e.g., AWS, GCP, Azure).
  • Familiarity with data orchestration tools (e.g., Airflow, Dagster) and data modeling techniques.
  • Knowledge of data streaming technologies (e.g., Kafka, Azure Event Hubs) and real-time processing.
  • Collaboration: Excellent communication and teamwork skills, with experience working in cross-functional environments.
  • Bachelor's in Computer Science, Information Systems, or related field.
  • Preferred Qualifications Experience with machine learning pipelines or MLOps frameworks.
  • Experience with tableau, Power BI, Synapse Analytics, or Databricks.

Compensation

  • Salary Starting at.
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