Sr IT Data Solution Engineer

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Written by AI from the job title and company, not by Consumer Direct Care Network, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Sr IT Data Solution Engineer at Consumer Direct Care Network is responsible for designing, developing, and implementing robust data solutions that enhance data integrity and accessibility across the organization. This role emphasizes collaboration with cross-functional teams to identify data requirements, develop data models, and utilize best practices for data management. The successful candidate will leverage advanced technologies and techniques to ensure that our data architecture delivers high-quality insights while driving operational efficiencies.

Job Responsibilities

• Design and implement data architecture and solutions tailored to meet the organization's strategic objectives.
• Collaborate with stakeholders to gather and analyze data requirements, ensuring the efficient and effective use of data.
• Develop data models and perform ETL processes to integrate diverse datasets from multiple sources.
• Monitor, troubleshoot, and optimize existing data solutions to enhance performance, scalability, and reliability.
• Ensure data quality and integrity by implementing appropriate governance frameworks and data management practices.
• Provide technical expertise in data migration, data warehousing, and big data technologies.
• Stay abreast of industry trends and emerging technologies related to data engineering and analytics.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree is a plus.
• Minimum of 5 years of experience in data engineering or data solutions development.
• Strong proficiency in SQL and experience with various database systems (e.g., MySQL, PostgreSQL, Microsoft SQL Server).
• Expertise in ETL tools and frameworks (e.g., Apache Nifi, Talend, Informatica).
• Working knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases.
• Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud Platform).
• Excellent analytical and problem-solving skills with a thorough understanding of data governance practices.
• Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.

Technologies & Tools

The position utilizes a variety of technologies and tools to facilitate data solutions development. This includes programming languages such as Python and R, as well as data processing and ETL tools like Apache Spark and Talend. The successful candidate will also engage with cloud services like Amazon Web Services (AWS) and Azure for data storage and processing solutions, ensuring effective integration with existing systems and optimizing data workflows.

Ideal Candidates

Ideal candidates for the Sr IT Data Solution Engineer role are those who possess a strong technical foundation coupled with a passion for solving complex data challenges. They should have a proactive mindset, demonstrating the initiative to enhance data strategies and processes. Moreover, candidates should exhibit excellent communication skills and the ability to collaborate effectively in a team environment while influencing stakeholders at all levels. A commitment to continuous learning and staying updated with industry advancements is also desirable.