Data Management Platform Operations Specialist

2 weeks ago


Pune, Maharashtra, India Talent Shark Full time
Job Title: Data Management Platform Operations Specialist

We are seeking an experienced and detail-oriented Data Engineer to join our dynamic team at Talent Shark. The ideal candidate will have a solid foundation in data management, SQL, and Python, and will be responsible for managing and optimizing large-scale data platforms. This role involves hands-on work with complex technical solutions, automation building, and ensuring high-quality data performance and availability.

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 the DevOps team 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.
Must-Have Skills:
  • DM Operations: Hands-on experience with managing and operating Data Management Platforms.
  • SQL: Strong expertise in SQL scripting, query optimization, and working with relational databases.
  • Python: Experience in Python for automation scripting and data analysis.
  • AWS: Knowledge of AWS services, such as EC2, S3, Lambda, Glue, RDS, and EMR, and experience with account management.
  • Kubernetes: Experience with AWS EKS and managing Kubernetes clusters.
  • Database Performance: Understanding of large-scale database performance, troubleshooting, and optimization.
  • Integration Technologies: Knowledge of ETL, Kafka, and REST API integrations.
  • Version Control: Hands-on experience with GitLab and GitLab Pipelines.
  • Application Monitoring: Experience with monitoring application availability and performance.
Preferred Skills:
  • Experience with Amazon EMR and data processing frameworks.
  • Familiarity with AWS Glue, Glue Jobs, and AWS Batch.
  • Knowledge of IaC tools and practices, such as Terraform and CloudFormation.
  • Understanding of Databricks for advanced data analytics.
  • Strong problem-solving skills with a "Can Do" attitude and eagerness to learn new technologies.
Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • 45 years of experience in data analysis, SQL scripting, and cloud-based data infrastructure.


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)

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