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Technical Data Lead

Coforge

Technical Data Lead

Location – Fort Mill, SC

Responsibilities

  • Design, develop, and implement data pipelines using AWS Glue and Lambda to support data ingestion and transformation.
  • Utilize PySpark for data processing and analysis, ensuring efficient data handling and performance optimization.
  • Implement Infrastructure as Code (IAC) using Terraform (TF) to automate deployment and management of cloud resources.
  • Develop and maintain SQL queries for data extraction, transformation, and loading (ETL) processes.
  • Manage containerized applications using Docker and orchestrate them with Amazon EKS.
  • Design and optimize data warehouse solutions using Snowflake (SF) or Redshift (RS) to support analytics and reporting.
  • Work with data lake technologies such as Iceberg, Lake Formation, and Delta tables to enhance data accessibility and governance.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.

Mandatory Skills

  • Strong experience with AWS services, particularly Glue and Lambda.
  • Proficiency in PySpark for data processing.
  • Expertise in Infrastructure as Code (IAC) using Terraform.
  • Solid SQL skills for data manipulation and querying.
  • Experience with containerization using Docker and orchestration with EKS.
  • Hands-on experience with data warehousing solutions like Snowflake or Redshift.
  • Familiarity with data lake technologies such as Iceberg, Lake Formation, and Delta tables.
  • Proven ability to work in a cloud environment.

Preferred Skills

  • Experience with data governance and data quality frameworks.
  • Knowledge of data modeling and database design principles.
  • Familiarity with Agile methodologies and project management tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 8-12 years of experience in data engineering or a related role.
  • Proven track record of delivering data solutions in a cloud environment.
  • Strong understanding of data architecture and data management best practices.

Vacancy posted 3 hours ago
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