Data Engineer II A - GBS IND

Process Overview*

The Data Analytics Strategy platform and decision tool team is responsible for Data strategy for entire CSWT and development of platforms which supports the Data Strategy. Data Science platform, Graph Data Platform, Enterprise Events Hub are key platforms of Data Platform initiative.

Job Description*

We're seeking a highly skilled Graph Database Engineer to architect and build a modern, scalable, and secure Data Science and Analytical Platform. This pivotal role will drive end-to-end (E2E) software lifecycle management, establish robust platform governance, and create the foundational infrastructure for developing, deploying, and managing a Graph Database.

Responsibilities*

• Lead the architecture and design for building scalable, resilient, and secure Graph Database using Tiger Graph product.

• Actively contribute to hands-on coding, building core components, Graph Queries while ensuring high code quality, maintainability, and performance.

• Ensure adherence to engineering excellence standards and compliance with key organizational metrics such as code quality, test coverage and defect rates.

• Integrate secure development practices, including data encryption, secure authentication, and vulnerability management into the application lifecycle.

• Collaborate with stakeholders to align technical solutions business requirements, driving informed decision-making and effective communication across teams.

• Mentor team members, advocate best practices, and promote a culture if continuous improvement and innovation in engineering processes.

• Develop efficient utilities, automation frameworks, Propose/Build automated deployment pipelines to enable self-help continuous deployment process for the tenant teams.

• Analyze, understand, execute and resolve the issues in user scripts / model / code.

• Perform release and upgrade activities as required.

• Well versed in the open-source technology and aware of emerging 3rd party technology & tools.

• Ability to fire fight, propose fix, guide the team towards day-to-day issues in production.

• Ability to train partner Graph Database teams on frameworks and platform.

• Flexible with time and shift to support the project requirements. It doesn’t include any night shift.

• This position doesn’t include any L1 or L2 (first line of support) responsibility.

Requirements*

Education*

• Graduation / Post Graduation:  BE/B.Tech/MCA/MTech

Certifications If Any: Tiger Graph or Neo4J

Experience Range*

• 6+ Years

Foundational Skills*

• Hands-on experience in software development, Graph DB (TigerGraph/Neo4j)

• Good understanding of data architecture and Big Data platform

• Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions

• Accountable for the availability, stability, scalability, security, and recoverability enabled by the design

• Ability to clearly communicate with team & stakeholders

• Hands on experience in coding for the following GraphDB & Hadoop Eco System:

• Java

• Python

• Spark/Scala

• Spark-SQL

• Py-Spark

• Tiger Graph or Neo4J or any NoSQL DB

• HIVE

• Impala

• Scala

• Autosys

• Shell Scripting

Desired Skills*

• Experience building E2E analytics platform using Graph DB (Neo4j, Tiger) and Big Data platform.

• Hands on experience on implementing CI/CD and automation using the Atlassian ecosystem.

• Hands on experience in designing, developing, and maintaining software frameworks using Neo4J, Tiger Graph DB

• Experience with graph-based data workflows and working with graph analytics.

• Good Knowledge of metadata management, data lineage, and principles of data governance

• Experience designing and building full stack solutions utilizing distributed computing or multi-node architecture.

• Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN

• Experience designing and building full stack solutions utilizing distributed computing or multi-node database paradigms.

• Well versed with processing and deployment technologies such as YARN

• Hands one experience on Java, Scala or Python