Welcome to Digital Placement, a leading staffing company dedicated to connecting businesses with top-tier digital talent. With a deep understanding of the ever-evolving digital landscape, we specialize in providing customized staffing solutions to meet your organization's unique needs
At Digital Placement, we recognize that in today's fast-paced and technology-driven world, having the right people with the right skills is crucial for success. Whether you're a small startup, a growing mid-sized company, or a large corporation, our extensive network of highly skilled professionals ensures that we can source the perfect candidates for your digital workforce
Our team of experienced recruiters possesses a comprehensive knowledge of the digital industry, enabling us to identify and attract top talent across various disciplines. From digital marketing and advertising to web development, UX/UI design, data analysis, and beyond, we are committed to finding individuals who possess the expertise and experience required to drive your organization forward
What sets Digital Placement apart is our dedication to building strong, lasting relationships with both our clients and candidates. We take the time to understand your unique business goals, company culture, and specific requirements to ensure that we deliver candidates who not only possess the necessary technical skills but also align with your organization's values and objectives
For our candidates, we go above and beyond in understanding their aspirations, career goals, and skill sets to match them with opportunities where they can thrive. We provide personalized guidance and support throughout the job search process, helping them secure positions that offer growth, fulfillment, and a rewarding career path
With Digital Placement as your trusted staffing partner, you can expect exceptional service, prompt communication, and a commitment to excellence. We are dedicated to exceeding your expectations and are driven by a passion

Digital Placement

<div>Responsibilities:</div><div>• Design, develop, and maintain scalable, reliable, and secure data pipelines to process large volumes of structured and unstructured healthcare data using PySpark and cloud-based databases.• Collaborate with data architects, data scientists, and analysts to understand data requirements and implement solutions that meet business and technical objectives.• Leverage AWS or Azure cloud services for data storage, processing, and analytics, optimizing cost and performance.• Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.• Develop and implement data ingestion, transformation, and validation processes to ensure data quality, consistency, and reliability across various healthcare datasets.• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues to minimize downtime and ensure optimal performance.• Establish and enforce data engineering best practices, ensuring compliance with data privacy and security regulations specific to the healthcare industry.• Continuously evaluate and adopt new tools, technologies, and frameworks to improve the data infrastructure and drive innovation.• Mentor and guide junior data engineers, fostering a culture of collaboration, learning, and growth within the team.• Collaborate with cross-functional teams to align data engineering efforts with broader organizational goals and strategies.• Is familiar with SOC 2 compliance and its impact on company policies and processes.• Understands importance of adhering to SOC 2 requirements and maintains an effort to do so</div><div>Requirements:</div><div>• Bachelor’s or master’s degree in computer science, Engineering, or a related field.• 3+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.• Strong Knowledge in Big Data Technologies, PySpark, thorough in one or more programming language like Python• Proven experience with AWS or Azure cloud services for data storage, processing, and analytics.• Expertise in workflow management tools like Airflow and container orchestration systems such as Kubernetes.• Strong knowledge of SQL and NoSQL databases, as well as data modeling and schema design principles.• Familiarity with healthcare data standards, terminologies, and regulations, such as HIPAA and GDPR, is highly desirable.• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.• Demonstrated ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.• A strong desire to learn, adapt, and contribute to a rapidly evolving data landscape.</div>