Senior Cloud Data Engineer
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Job description
Architect and implement highly scalable centralized and decentralized cloud-based enterprise data management systems. Develop and maintain robust end-to-end data pipelines utilizing complex SQL, Python, and Informatica workflows. Direct the design of complex enterprise data layers and facilitate technical reviews of critical ETL requirements. Establish and enforce comprehensive data governance processes, security policies, and privacy standards. Monitor cloud system performance and strategize optimization measures for large multi-terabyte data platforms. Evaluate and recommend innovative cloud products to optimize enterprise data curation, storage, and processing. Lead cross-functional technical design sessions to drive collaborative decision-making and ensure timely solution delivery. Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.
Requirements
5 or more years of experience in cloud data architecture and complex data pipeline engineering. Proficiency in Snowflake cloud data platforms and executing complex SQL and Python code. Experience with AWS cloud solutions, enterprise data warehousing, and decentralized data mesh architectures. Experience in building ETL data integrations utilizing Informatica IICS and Airflow orchestration. Experience with CI/CD deployment pipelines utilizing GitHub, Unix, Linux, and shell scripting. Experience in handling highly sensitive healthcare information while enforcing strict HIPAA data privacy controls. Excellent verbal and written communication skills to articulate solutions to technical stakeholders.
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