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Top Data Engineer Jobs in Little Rock,
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Data Operations Engineer at Podium, you'll manage data flow, optimize systems, and support engineering teams in using various data technologies, particularly Elasticsearch. You'll focus on performance tuning, automating infrastructure with Terraform and Ansible, and contributing to AI initiatives for local businesses. This role emphasizes collaboration and innovation in a fast-paced environment.
As a Senior Data Engineer at Wizard, you will enhance the company's data capabilities by developing scalable data infrastructure, optimizing ETL pipelines, collaborating with data scientists, and integrating external e-commerce platforms to improve data systems.
The Privacy, AI and Data Protection Counsel will manage Wiz's privacy and data protection compliance program, provide guidance on compliance matters, negotiate Data Processing Agreements, and stay informed on global regulations. Reporting to Wiz’s Global Privacy Officer, this role requires expertise in addressing privacy concerns particularly in technology contracts.
As a Data Engineer, you will support analytics initiatives by developing and maintaining data pipelines, collaborating with various teams, optimizing existing data processes, and ensuring data quality. This role also involves designing data models and deploying architecture for efficient data retrieval and storage.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
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As a Data Engineer at Reach Financial, you'll develop and manage data pipelines, collaborate with data scientists and analysts, maintain documentation, and troubleshoot issues while modernizing the company's data platform. You'll work closely with Lead and Senior Data Engineers and help evaluate new tools for optimizing the data ecosystem.
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