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Data Management Platform Architect

4 weeks ago

Pune, Maharashtra, India Talent Shark Full time
Job Description:

Talent Shark is seeking a highly skilled Data Management Platform Operations Engineer to join our dynamic team. This role involves managing and optimizing large-scale data platforms, ensuring high-quality data performance and availability. The ideal candidate will have a solid foundation in data management, SQL, and Python.

Key Responsibilities:
  • Manage and maintain the Data Management Platform (DMP) to ensure optimal performance of large datasets.
  • Develop, automate, and optimize SQL scripts and queries to support data analysis and operations.
  • Build automation processes using Python to streamline data workflows and improve efficiency.
  • Work with cloud-based solutions, particularly AWS, including EC2, S3, Lambda, Glue, RDS, and EMR.
  • Implement and manage Kubernetes clusters using AWS EKS, ensuring smooth operation of external products.
  • Monitor, troubleshoot, and resolve data-related issues, ensuring high data quality and system performance.
  • Support integration projects using ETL, Kafka, and REST APIs.
  • Collaborate with DevOps teams to manage GitLab Pipelines and Infrastructure as Code (IaC) deployments.
  • Analyze and monitor the availability and performance of applications and data infrastructure.
  • Provide L2 and L3 support for data operations, troubleshooting issues, and identifying areas for improvement.
  • Maintain and improve data security, governance, and compliance within the DMP.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • At least 45 years of experience in data analysis, SQL scripting, and cloud-based data infrastructure.
Preferred Qualifications:
  • Experience with Amazon EMR and data processing frameworks.
  • Familiarity with AWS Glue, Glue Jobs, and AWS Batch.
  • Knowledge of IaC tools and practices (e.g., Terraform, CloudFormation).
  • Understanding of Databricks for advanced data analytics.
  • Strong problem-solving skills with a 'Can Do' attitude and eagerness to learn new technologies.
Work Environment:
  • AWS Account Management
  • Python
  • SQL scripting and querying
  • Large Database Performance
  • Data Quality and Troubleshooting
  • Kubernetes (AWS EKS)
  • EC2, S3, Lambda
  • AWS Glue, Glue Jobs
  • Databricks
  • RDS
  • Amazon EMR
  • L2 and L3 Support
  • GitLab, GitLab Pipelines
  • ETL Integrations
  • Kafka, REST API
  • IaC (Infrastructure as Code)
Language:
  • English