Data Engineer

Description

Job Overview:

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Salesforce, SQL, AWS, AWS Glue, Informatica PowerCenter, and Apache Spark. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure, ensuring the efficient and reliable flow of data across various systems.

Responsibilities

Data Integration and ETL Development:

• Design, develop, and maintain robust ETL processes for seamless data integration from various sources, with a focus on Salesforce, SQL databases, and other relevant platforms.
• Utilize Informatica PowerCenter and AWS Glue to create efficient and scalable ETL workflows.
  
  

Cloud Platform Expertise

• Leverage AWS services to build and optimize data pipelines, storage, and analytics solutions.
• Work with AWS Glue for data cataloging, ETL job execution, and data transformation.
  
  

Database Management

• Proficient in SQL for database design, optimization, and querying.
• Manage and optimize databases, ensuring data integrity and performance.
  
  

Big Data Processing

• Develop and implement Apache Spark applications for large-scale data processing and analytics.
  
  

Collaboration And Communication

• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Communicate effectively with technical and non-technical stakeholders, explaining complex concepts in a clear and understandable manner.
  
  

Performance Optimization

• Identify and address performance bottlenecks in data pipelines and processes to ensure optimal system efficiency.
  
  

Requirements

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven professional experience as a Data Engineer with a focus on Salesforce, SQL, AWS, AWS Glue, Informatica PowerCenter, and Apache Spark.
• Strong SQL skills and experience working with relational databases.
• Proficient in designing, building, and maintaining ETL processes.
• Hands-on experience with cloud platforms, particularly AWS.
• Familiarity with data warehousing concepts and best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
  
  

Preferred Skills

• AWS Certification (e.g., AWS Certified Big Data - Specialty).
• Experience with other big data technologies and tools.
• Familiarity with data governance and security best practices.
  
  

Technology Doesn't Change the World, People Do.®

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