Why Zensar?
We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
Zensar is looking for a Data Engineer in the United States. This position is open for Full Time with excellent benefits and professional growth opportunities.
About the Role
We are seeking an experienced Data Engineer with strong expertise in data engineering, databases, and cloud technologies, along with solid knowledge of database and application architecture. The ideal candidate will have hands-on experience building scalable data pipelines and data platforms, strong SQL and data modeling skills, working knowledge of Python, and exposure to AI/ML and Generative AI technologies.This role will work closely with application architects, database architects, cloud engineers, data scientists, and application development teams to design and implement reliable, scalable, secure, and high-performance data solutions.
Key Responsibilities
• 10+ years’ experience in IT development, data governance, data architecture or related roles, preferably in a highly regulated environment such as financial services.
• Design and define enterprise-level database architectures, standards, patterns, and best practices.
• Evaluate and select appropriate relational, NoSQL, and cloud-native database technologies based on business and technical requirements.
• Design scalable database solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery.
• Provide expertise in database technologies such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar platforms.
• Design and support database solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
• Lead or support on-premises-to-cloud database migrations and modernization initiatives.
• Optimize database performance through query tuning, indexing, partitioning, capacity planning, and database configuration.
• Establish database security standards, including encryption, access controls, auditing, data protection, and compliance requirements.
• Collaborate with application architects and engineering teams on database design, APIs, data access patterns, and integration solutions.
• Use Python for basic database automation, scripting, data processing, validation, and operational tasks.
• Work with AI/ML and GenAI teams to understand data requirements and support AI-enabled applications.
• Provide basic architectural guidance for AI-related data patterns, including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG).
• Evaluate emerging database, cloud, and AI technologies and recommend solutions where appropriate.
• Create and maintain architecture diagrams, database standards, technical documentation, and design decisions.
• Provide technical leadership, architecture reviews, troubleshooting support, and mentoring to engineering teams.
• Strong experience in database architecture, database engineering, or database administration.
• Deep understanding of relational database concepts, SQL, data modeling, normalization, indexing, transactions, and performance optimization.
• Experience with one or more major database platforms such as PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent.
• Hands-on experience with AWS, Azure, or Google Cloud Platform, particularly managed database services.
• Understanding of cloud architecture concepts including scalability, high availability, security, monitoring, backup, and disaster recovery.
• Experience designing or supporting database migration and modernization initiatives.
• Basic to intermediate Python skills for scripting, automation, and data processing.
• Basic understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
• Familiarity with AI-related technologies such as vector databases, embeddings, semantic search, LLMs, and RAG is preferred.
• Strong problem-solving, analytical, communication, and documentation skills.
• Ability to collaborate effectively with architects, developers, data engineers, infrastructure teams, security teams, and business stakeholders.
• Experience with cloud-native and distributed database architectures.
• Experience with Infrastructure as Code and DevOps/CI/CD practices.
• Knowledge of database observability, monitoring, and automated operations.
• Experience with data governance, security, privacy, and regulatory requirements.
• Exposure to AI/ML platforms and cloud-based AI services.
• Experience supporting large-scale, high-volume, highly available enterprise systems.
Education:
- Bachelors /Master’s Degree – Information Technology
Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.
All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.
Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:
