Principal Analytics Solutions Architect

2 weeks ago

Pune, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Big Data Analytics Expert:

Veltris partners with businesses to drive technology-enabled transformation. We specialize in delivering next-generation solutions for healthcare, technology, communications, manufacturing, and finance.

Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across digital and physical ecosystems.

Job Description:

We are seeking an experienced Senior Big Data Engineer to lead the design, development, and implementation of big data analytics platforms using Spark, Druid, Drill, and ClickHouse.

The ideal candidate will have extensive experience in programming languages like Python/Java, CI/CD, infrastructure & cloud, Terraform, and possess expertise in big data pipelines, graph DBs, and related technologies.

Key Responsibilities:

  • Design and implement big data analytics platforms using Spark, Druid, Drill, and ClickHouse.
  • Develop scalable and efficient big data pipelines using Kafka, Glue, EMR, Hudi, Schema Registry, and Data Lineage.
  • Collaborate with cross-functional teams to identify business requirements and develop tailored solutions.
  • Stay up-to-date with emerging trends and technologies in big data and analytics.

Requirements:

  • 8+ years of experience in big data engineering, preferably with a strong background in Spark, Kafka, Glue, EMR, Hudi, Schema Registry, and Data Lineage.
  • Expertise in programming languages like Python/Java, CI/CD, infrastructure & cloud, Terraform.
  • Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical field.

Preferred Qualifications:

  • Experience with graph DBs like Neo4j, Neptune, JanusGraph, and Dgraph.
  • Knowledge of cloud-based services like AWS, Azure, or Google Cloud.
  • Familiarity with DevOps tools like Docker, Kubernetes, and Jenkins.

Disclaimer:

The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose.

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