Big Data Developer - II

Sr Developer Role

As a part of VZ Data Engineering & Analytic Team, these positions are responsible for:

Developing enablement strategies for effective data analysis and data product.

Selecting, configuring, and implementing analytical and web solutions such as integrated data consumption layer.

Developing and implementing data analytics, data collection systems, and other strategies that optimize statistical efficiency and quality.

Identifying, analyzing, and interpreting trends or patterns in complex data sets.

Monitoring performance and quality control plan to identify performance.

Working on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices.

Working with management to prioritize business and information needs.

Job Duties:

Candidate needs to accomplish end to end build of the pipeline and data harmonization component to enable insight generation for executive and channels to take proactive action on time.

Design, develop, and implement software based on requirements.

Troubleshoot production issues and coordinate with the support team for code deployment.

Collaborate with team members to follow process, procedures, and data security. Knowledge on Jenkins, Jira, Git etc.

Deligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.

Must Have Skills:

MS or BS in Computer Science, Information Science, Engineering or other related field with 10 or more years of relevant work experience.

4+ years of proven experience in collaborating with data architects, data scientists and enterprise platform team in architecting, building, deploying and managing ML models in production.

5+ years of programming experience in python and java including 2+ years of strong programming experience using Scala.

3+ years of supervised ML model development (XGBoost experience desired).

4+ years of experience collaborating projects in Hadoop ecosystem leveraging HDFS, PIG, Oozie, Hive and demonstrated knowledge of leveraging ML tools like MLFlow, SHAP, & ELI5.

Hands on experience in large containerized environments utilizing Kubernetes.

Exposure to GCP and scaled agile based product development methodology is preferred.

Participation in technology and industry forums on evolving data science, ML engineering/Ops practices to deploy new ML solutions in preferred.

Strategic thinker with ability to apply business mindset to data issues and initiatives, craft cross-business strategies and plans for multiple stakeholders.

Strong leadership, communication, persuasion and teamwork skills.

4 or more years relevant work experience.

Experience with Linux operating system.

Experience working in Production environment.

Experience with Bash or Python.

Experience with Hadoop ecosystem.

Experience with networking: Cloud to Cloud, On-Premise to Cloud.

Experience with securing services using Mutual TLS (mTLS).

Experience with TLS x509 certificate management.

Experience with creation and management of CI/CD pipelines.

Experience with OKTA or similar identity platforms.

Desired Skills:

The ability to analyze, model and interpret data.

Problem-solving skills.

A methodical and logical approach.

The ability to plan work and meet deadlines.

Accuracy and attention to detail.

Education/Certifications: B.S.