Senior Cloud Data Engineer Position

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time
Job Title: Cloud Data Engineer

We are seeking a skilled Cloud Data Engineer with expertise in designing and deploying scalable solutions for high-volume data storage and retrieval. The ideal candidate will be responsible for building robust ETL/ELT pipelines using big data tools like Spark, Kafka, and Azure Data Factory.

Key Responsibilities
  • Data Infrastructure & Engineering: Design and develop scalable solutions for time-series data storage and retrieval. Build robust ETL/ELT pipelines using big data tools like Spark, Kafka, and Azure Data Factory.
  • C/I/D & MLOps: Develop and manage C/I/D pipelines for ML models and data infrastructure using tools like MLflow, Jenkins, and Terraform.
  • Monitoring & Automation: Implement end-to-end monitoring for infrastructure and data pipelines using Prometheus and Grafana. Automate workflows to ensure high availability and zero-downtime deployments.
  • Release & Incident Management: Manage releases across environments, respond to Severity 1 incidents, and lead Root Cause Analysis (RCA).
  • Collaboration & Analytics: Work with product teams to deploy releases, resolve customer escalations, and build tools that provide insights into business KPIs.
Required Skills & Qualifications
  • A Bachelor's or Master's degree in Engineering with experience in SRE or related roles.
  • Certifications such as AWS Solution Architect Associate or Azure are preferred.
  • Strong technical skills in cloud platforms (AWS, Azure), big data technologies (Spark, Kafka, Databricks), and data storage.
  • Proficiency in SQL, Python, Java/Scala, and container orchestration (Kubernetes).
  • Familiarity with DevOps tools like Jenkins, Terraform, and Ansible.
  • Excellent problem-solving, communication, and time management skills.
Benefits & Opportunities

This role offers the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the growth of our data engineering capabilities. As a Cloud Data Engineer, you will have the chance to design and implement scalable solutions, automate workflows, and drive innovation in data engineering.

Competencies & Skills
  • Problem-Solving & RCA: The ability to effectively troubleshoot and conduct root cause analysis.
  • Technical Expertise: Strong skills in cloud and data engineering.
  • Collaboration: Experience working with cross-functional teams.
  • Automation: A mindset focused on innovation and automation to improve processes.
  • Customer Focus: The ability to manage customer escalations and drive improvements.

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