Senior Associate Engineer - Data

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
What You'll Do :

• Design and build robust data models that align with business requirements.
• Create scalable data architectures that accommodate growth and evolving data needs.
• Develop and maintain data pipelines that facilitate seamless data flow from various sources to data warehouses or storage systems.
• Optimize ETL (Extract, Transform, Load) processes for efficiency and reliability.
• Implement and manage data storage solutions, including relational databases (e.g., SQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra).
• Set up and maintain data lakes for large-scale data storage.
• Debug code issues / bugs using stack traces, logs, monitoring tools, and other resources.
• Ensure data consistency and accuracy through validation and cleansing techniques.
• Collaborate with cross-functional teams to address data-related issues.
• Design and implement technical features leveraging best practices for technology stack being used.
• Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors.
• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews and performing code/script reviews of senior engineers in the team.
• Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths.
• Stay updated on industry trends and best practices in data engineering.
• Provide guidance on data engineering tools, technologies, and methodologies.
• Implement complex features with limited guidance from the engineering lead. For example: service or application-wide change.
• Research & evaluate the latest technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.
• Work closely with clients to understand their data engineering requirements.
• Design and implement best-in-class data engineering solutions tailored to client projects.
• Break down large features into estimable tasks, leads estimation and can align with clients.
• Mentor junior Data Engineers, fostering their growth and skill development.
• Collaborate with other technical teams to integrate data solutions seamlessly.
• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.
• Collaborate with client facing teams to understand solution context and contribute in technical requirement gathering and analysis.
• Work with technical architects on the team to validate design and implementation approach.

What You'll Bring?

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields
• Minimum 5+ relevant industry experience with Big data - Hive, Spark, Hadoop, queueing system like Apache Kafka/Rabbit MQ/AWS Kinesis
• Hands on experience in building metadata driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real time);
• Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP;
• Hands on experience building CI/CD pipelines and awareness of practices for application monitoring.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
• Familiarity with cloud-based systems (e.g., AWS, Azure).
• Knowledge of data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi).
• Good Expertise on Data Ingestion, Data Storage, Orchestration, Data Fabric, Error logging and Auditing, Job Monitoring, data management on Cloud preferably Azure or AWS.
• Good knowledge of Azure Databricks and/or AWS EMR
• Good understanding of Data warehousing concepts and best practices
• Strong in at least one of the Programming languages - Python or Java, Scala, etc. and Programming basics - Data Structures.
• Travel to other global offices as needed to work with client or other internal project teams.
• Ability to travel to other offices or client locations as needed.
• Strong communication skills

Additional Skills

• Azure Certification on Data Engineering
• AWS certification on Data Engineering
• Knowledge of data modeling

How you'll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $90,000.00 - $110,000.00