Bangalore, Karnataka, India
Information Technology
Full-Time
Predigle
Overview
About The Role
We are seeking an experienced Data Engineer with deep hands-on expertise in AWS, Azure Databricks, Snowflake, and modern data engineering practices to join our growing Data & AI Engineering team.
The ideal candidate is a strategic thinker who can design scalable platforms, drive robust data solutions, and support high-impact AI/GenAI projects from the ground up.
Key Responsibilities
A unique opportunity to build and scale cutting-edge AI and data platforms that drive meaningful business outcomes.
(ref:hirist.tech)
We are seeking an experienced Data Engineer with deep hands-on expertise in AWS, Azure Databricks, Snowflake, and modern data engineering practices to join our growing Data & AI Engineering team.
The ideal candidate is a strategic thinker who can design scalable platforms, drive robust data solutions, and support high-impact AI/GenAI projects from the ground up.
Key Responsibilities
- Working experience of 3 years in Data engineering.
- Design, build, and optimize scalable data pipelines using modern frameworks and orchestration tools.
- Develop and maintain ETL/ELT workflows using AWS, Azure Databricks, Airflow, and Azure Data Factory.
- Manage and model data in Snowflake to support advanced analytics and machine learning use cases.
- Collaborate with analytics, product, and engineering teams to align data solutions with business goals.
- Ensure high standards for data quality, governance, and pipeline performance.
- Mentor junior engineers and help lead a high-performing data and platform engineering team.
- Lead and support GenAI platform initiatives, including building reusable libraries, integrating vector databases, and developing LLM-based pipelines.
- Build components of agentic frameworks using Python, Spring AI, and deploy them on AWS EKS.
- Establish and manage CI/CD pipelines using Jenkins.
- Drive ML Ops and model deployment workflows to ensure reliable and scalable AI solution delivery.
- Proven hands-on experience with Azure Databricks, Snowflake, Airflow, and Python.
- Strong proficiency in SQL, Spark, Spark Streaming, and modern data orchestration frameworks.
- Solid understanding of data modeling, ETL best practices, and performance optimization.
- Experience in cloud-native environments (AWS and/or Azure).
- Strong hands-on expertise in AWS EKS, CI/CD (Jenkins), and ML Ops/model deployment workflows.
- Ability to lead, mentor, and collaborate effectively across cross-functional teams.
- Experience with Search Platforms such as Elasticsearch, SOLR, OpenSearch, or Vespa.
- Familiarity with Spring Boot microservices and EKS-based deployments.
- Background in Recommender Systems, with leadership roles in AI/ML projects.
- Expertise in GenAI platform engineering, including LLMs, RAG architecture, Vector Databases, and agentic design.
- Proficiency in Python, Java, Spring AI, and enterprise-grade software development.
- Ability to build platform-level solutions with a focus on reusability, runtime libraries, and scalability.
A unique opportunity to build and scale cutting-edge AI and data platforms that drive meaningful business outcomes.
- A collaborative, growth-oriented work culture with room for ownership and innovation.
- Competitive compensation and a comprehensive benefits package.
- Flexible hybrid/remote work model to support work-life balance.
(ref:hirist.tech)
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