Juniper Software Engineer - Data Engineer 

India, Karnataka, Bengaluru 

353381677

As a member of the Decision Support Analytics (DSA) team, you will collaborate with cross-functional teams to design, build, and manage scalable data pipelines, data warehouses, and machine learning (ML) models. Your work will involve analyzing and visualizing data, publishing dashboards or data models, and contributing to the development of web services for Engineering Technologies portals and applications. This role requires strong coding abilities, presentation skills, and expertise in big data infrastructure.

• Collaborate with internal stakeholders to gather requirements and understand business workflows.
• Develop scalable data pipelines and ensure high-quality data flow and integrity.
• Use advanced coding skills in languages such as SQL, Python, Java, or Scala to address business needs.
• Leverage statistical methods to analyze data, generate actionable insights, and produce business reports.
• Design meaningful visualizations using tools like Tableau, Power BI, or similar platforms for effective communication with stakeholders.
• Implement or upgrade data analysis tools and assist in strategic decisions regarding new systems.
• Build frameworks and automation tools to streamline data consumption and understanding.
• Train end-users on new dashboards, reports, or tools.
• Provide hands-on support for internal customers across various teams.
• Ensure compliance with data governance policies and security standards.

1. Data Engineering Tools & Frameworks:
   • ETL tools such as Wherescape, Apache Airflow, or Azure Data Factory.
   • Big Data technologies like Hadoop, Apache Spark, or Kafka.
2. Cloud Platforms:
   • Proficiency in cloud services such as AWS, Azure, or Google Cloud Platform for storage, computing, and analytics.
3. Databases:
   • Experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
4. Data Modeling & Architecture:
   • Expertise in designing schemas for analytical use cases and optimizing storage mechanisms.
5. Machine Learning & Automation:
   • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) for building predictive models.
6. Scripting & Automation:
   • Advanced scripting for automation using Python/Scala/Java.
7. APIs & Web Services:
   • Building RESTful APIs for seamless integration with internal/external systems.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven track record of working with large datasets in fast-paced environments.
• Strong problem-solving skills with the ability to adapt to evolving technologies.

ELIGIBILITY TO WORK AND E-VERIFY

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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