Data Architect

3 weeks ago


Coventry, Coventry, United Kingdom HCLTech Full time

We are seeking a highly skilled Databricks Engineer to join our team at HCLTech in Coventry location.

As a Databricks Engineer, you will be responsible for providing daily support for the Databricks platform running on AWS.

Main Responsibilities:

Databricks Platform Support:

• Provide daily support for the Databricks platform running on AWS.

Data Security and Access Controls:

• Ensure data security and access controls are setup and maintained.

Cluster and Resource Monitoring:

• Monitor and troubleshoot clusters, workspaces, jobs, and other Databricks resources.

Medallion Architecture and Unity Catalog:

• Familiar with setting up and using medallion architecture, and the unity catalog.

Incident Handling and Collaboration:

• Handle incidents, requests, and changes in Databricks environments.

• Collaborate with engineering and DevOps teams to resolve complex platform issues.

Databricks ML Flows and Monitoring:

• Familiarity with Databricks ML flows and monitoring.

Performance Tuning and Optimization:

• Analyze workloads and optimize Databricks clusters for performance and cost-efficiency.

• Recommend best practices for efficient Spark job execution and data processing.

AWS Infrastructure Management:

• Manage and configure AWS services (e.g., S3, EC2, IAM, Lambda) that integrate with Databricks.

• Ensure proper security configurations and compliance with AWS standards.

Automation and DevOps:

• Develop and maintain automation scripts for platform maintenance and monitoring.

• Work closely with DevOps teams to automate cluster management, scaling, and infrastructure provisioning.

• Implement CI/CD pipelines for Databricks deployments using tools like Jenkins, Git, or Terraform.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or related field, and 5+ years of experience supporting Databricks or similar data platforms.

• Strong expertise in Databricks on AWS: cluster management, job execution, Spark optimization.

• Hands-on experience with AWS services like EC2, S3, IAM, Lambda, RDS, VPC.

• Proficiency in Python, Scala, or SQL for data engineering tasks.

• Solid understanding of Apache Spark, ETL pipelines, and big data processing.

• Familiarity with DevOps practices, automation tools (Terraform, Ansible), and CI/CD pipelines.

Why Join Us:

We offer a challenging and rewarding work environment, where you can grow professionally and contribute to the success of our team.

We are committed to providing equal opportunities to all candidates and welcome applications from diverse backgrounds.

Apply now to join our team and take the first step towards a rewarding career in data engineering.


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