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About
This role is for an expert
Data Engineer with 10+ years
in software and data engineering, with focused maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products building and optimizing data microservices and delivering end-to-end solutions. You will design, implement, and deploy scalable architectures, collaborating with business and technology teams to ensure efficient, high-quality data delivery from start to finish. Job Responsibilities:
Design, develop, and optimize complex data pipelines and
ETL
processes and complementary cloud technologies. Architect and implement scalable data warehouse solutions to support business requirements and analytics needs. Lead data migration and modernization projects from legacy platforms to
Azure . Develop and enforce best practices for
Snowflake
architecture, security, performance tuning, and cost optimization. Mentor and guide junior and mid-level engineers, fostering a culture of technical excellence and continuous learning. Collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver robust solutions. Develop and maintain documentation, data models, and data dictionaries for environments. Monitor, troubleshoot, and resolve issues related to data integrity, performance, and reliability. Evaluate and integrate new data tools and technologies to enhance the data engineering ecosystem. Ensure compliance with company policies and industry standards regarding data security and governance. Required Qualifications/Skills:
10+ years of
experience in data engineering or a related field, with demonstrable expertise in building and maintaining large-scale data systems. 3+ years of hands-on experience, including data modeling, performance tuning, and
advanced SQL. Strong experience with
ETL/ELT tools (e.g., Informatica)
and data integration techniques. Proficiency in programming languages such as
Python, Scala, or Java
for data processing. Deep understanding of cloud data
platforms (AWS, Azure)
and their integration with databases. Proven track record of leading complex data migration and modernization projects. Excellent analytical, problem-solving, and communication skills. Experience with data security best practices, access controls, and compliance requirements. Familiarity with
CI/CD pipelines and DevOps
practices in the context of data engineering.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Languages
- English
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