• Write well-designed, testable, efficient code • Produce specifications and determine operational feasibility • Integrate software components into a fully-functional software system • Develop software verification plans and quality assurance procedures • Document and maintain software functionality and APIs • Configure and deploy software tools, processes and metrics • Adhere to industry standards and regulations • Embrace and evolve our agile development practices

• Lead end-to-end data migration activities for SAP S/4HANA implementation projects. • Design and execute data migration strategy, planning, and execution. • Hands-on experience with LTMC (Legacy Transfer Migration Cockpit) and DMC (Data Migration Cockpit). • Manage data extraction, transformation, cleansing, validation, and loading activities. • Work closely with business stakeholders, functional consultants, and technical teams to ensure data quality. • Lead data migration workshops with clients and gather migration requirements. • Perform data mapping, reconciliation, and validation. • Handle mock loads, trial migrations, and cutover planning. • Ensure data integrity, consistency, and compliance throughout the migration lifecycle. • Mentor and guide data migration team members. • Provide regular status updates to project stakeholders and leadership. • Troubleshoot and resolve data migration issues and defects.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Fox Cable Network Services, LLC seeks a Computer and Information Systems Manager (Manager, Data Engineering), responsible for designing, developing, and maintaining comprehensive Data Lake and warehouse solutions. Tackle challenges that come with complex large-scale data having different streams of data sources. Specific duties include: - Lead the design, development, and implementation of data architectures, data pipelines, and data systems. - Manage a team of 3-5 data engineers and provide technical guidance and mentorship. - Build scalable data infrastructure and understand distributed systems concepts from a data storage and compute perspective. - Ensure the accuracy and availability of data to customers and understand how technical decisions can impact the business’s analytics and reporting. - Collaborate with cross-functional teams, business partners, stakeholders including senior leadership to understand business requirements, promote best practice and trade-offs, and to provide solutions that meet the organization's goals. - Develop, democratize and maintain Data as an asset. - Optimize data processes for efficiency, reliability, and scalability. - Act as a Subject Matter Expert to the organization for end-to-end data pipeline. - Ensure quality by performing root cause analysis and troubleshooting of defects. - Stay current with industry trends and advancements in Data Engineering. Telecommuting permitted from any location in the U.S. Qualifications - Bachelor’s degree in Computer Science, Computer Engineering or related field, plus two (2) years of data engineering or related experience executing multiple large data analytics and engineering projects. - In lieu of Bachelor’s degree, will accept four (4) years of data engineering or related experience executing multiple large data analytics and engineering projects. Requirements - Two (2) years of experience designing and developing Platform Architecture and ETL/Data pipelines. - Experience developing frameworks and reusable components for AWS cloud data migration and integration. - Experience analyzing and capturing batch, streaming and near real-time data (ETL) requirements for Enterprise Data Lake and Data Warehouse. - Experience working with various stakeholders on requirement gathering, defining project scope, roadmaps and short and long-term strategic goals. - Specific skills required include: - Programming languages such as Python or Java. - pySpark or Scala. - AWS Redshift, Athena, Spectrum, DynamoDB and RDS. - Amazon Web Services including EC2, Elastic Map Reduce (EMR), Glue, Lambda, Kinesis, IAM, ECS, S3, API Gateway, Kinesis and Kafka. - Agile Methodology, Software Development Life Cycle, Test Strategy and Performance Tuning. - Databricks, PL/SQL, Shell scripting, Tableau and Looker. - Jira, Bitbucket, Confluence and Git. Telecommuting permitted from any location in the U.S. Benefits - Medical/dental/vision insurance. - 401(k) plan. - Paid time off. - Other benefits in accordance with applicable plan documents. - Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $200,970.00-221,067.00 annually.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is a remote position. Responsible for implementing and maintaining Informatica Data Governance solutions including: - Metadata management - Data quality rules - Lineage - Stewardship workflows Partnering with data stewards, analysts, and business teams to define and enforce governance standards. Develops automated data ingestion, transformation, and validation processes and integrates Snowflake with Informatica and other Cloud platforms. Monitors data quality, performance, and reliability across pipelines, contributes to architectural decisions and best-practice documentation, and resolves data issues to ensure accuracy, consistency, and security. Provides technical guidance and recommendations related to report development. Qualifications - Strong experience with Informatica Data Governance tools (e.g., Axon, EDC, IDQ) - Expert of data cataloging and enterprise data governance frameworks - Background in building scalable and distributed data systems - Expert of data modeling, metadata management, and data lineage - Experience with API integrations and workflow automation - Hands-on experience with Snowflake (SQL, Snowflake architecture, performance tuning, ELT) - Familiarity with CI/CD, Git, and modern DevOps practices - Define data transformation rules, metadata, and data lineage documentation - Ensure reporting and extract requirements align with enterprise data governance standards - Troubleshoot defects and work with technical teams to resolve issues Requirements - 5+ years: Strong experience with Informatica Data Governance tools (e.g., Axon, EDC, IDQ) - 2+ years: Experience with Informatica Cloud (IICS) - 5+ years: Experience with API integrations and workflow automation - 5+ years: Skill with Microsoft Office tools, particularly with Word, Excel, PowerPoint, Visio, and SharePoint - 3+ years: Understanding of cloud data platforms (Azure, AWS, Databricks, Snowflake, or similar) - 5+ years: Expert of data modeling, metadata management, and data lineage - 2+ years: Knowledge of enterprise information management processes and methodologies, relational database management systems, and metadata management - 2+ years: Knowledge of local, state, and federal laws and regulations (PII) relevant to data management and data governance - 2+ years: Experience in working in fast-paced and ever-changing environments; achieving project deliverables and deadlines; exercising sound judgment in making critical decisions; analyzing complex information and developing plans to address identified issues - 2 years: Skill in interpersonal relationships, including the ability to work with people under pressure, negotiate among multiple parties, resolve conflicts, and establish and maintain effective working relationships with various levels of personnel - 2+ years: Experience in data focused projects, like moving from Legacy to newer systems - -: Graduation from an accredited four-year college or university with major coursework in data processing, computer science, business administration, or a related field Benefits