Senior Software Engineer-Analytics

2 weeks ago

India Bloomreach Full time US$ 1,25,000 - US$ 1,75,000 per year

Bloomreach is solving one of the digital world's most fundamental problems: helping businesses leverage data to drive personalized and optimized customer experiences. We are seeking a Senior Software Engineer to join our Analytics Team, which focuses on building scalable data infrastructure, developing analytics frameworks, and delivering actionable insights that enhance search, recommendations, and personalization. Your contributions will be crucial in designing, building, and optimizing data pipelines, analytics platforms, and ML-driven insights to improve business outcomes for our customers.

This role offers an exciting opportunity to contribute to the core analytics capabilities of our platform, applying your expertise to enhance personalization functionalities and redefine the digital shopping experience.

What You'll Do:
  • Design, build, and optimize scalable data processing pipelines to support real-time and batch analytics use cases.
  • Develop and maintain high-performance data infrastructure, ensuring reliability, accuracy, and efficiency in data workflows.
  • Partner with Product, Data Science, and Engineering teams to understand requirements and implement data-driven solutions that enhance personalization and recommendations.
  • Design and implement analytics frameworks for measuring and improving search, recommendations, and customer engagement.
  • Lead the integration of machine learning models into real-time production systems, collaborating closely with Data Science teams.
  • Ensure best practices in data engineering, monitoring, and governance to drive high-quality analytics and insights.
  • Participate in lean and agile development processes, taking ownership of the full software lifecycle from design to deployment and maintenance.
  • Mentor junior engineers, drive technical excellence, and contribute to architectural decisions that shape the future of analytics at Bloomreach.
What You'll Need:
  • 6+ years of hands-on experience in software engineering, working with data-intensive applications, analytics platforms, or personalization systems.
  • Strong expertise in Java, Python, or another object-oriented language, with a deep understanding of software architecture and distributed systems.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, and data lakes for large-scale processing.
  • Proven experience designing, implementing, and maintaining scalable and reliable data pipelines in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of data structures, algorithms, and system design for building highly available, high-performance systems.
  • Familiarity with machine learning concepts, feature engineering, and model serving frameworks.
  • Experience working with analytics frameworks, data visualization, and business intelligence tools like Databricks, Snowflake and Tableau is a plus.
  • Startup experience in a fast-paced growth company is highly desirable but not required.

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