Data Engineer

1 month ago

Dallas, United States Excelon Solutions Full time
Job DescriptionJob Description

We are currently seeking a Data Engineer - Dallas to join our team in Dallas, Texas (US-TX), United States (US).


Job Duties and Responsibilities Include:

  • Develop, maintain, and optimize data pipelines to extract, transform, and load large datasets from diverse sources into our data ecosystem
  • Design and implement efficient and scalable data models that align with business requirements, ensuring data integrity and performance
  • Collaborate with cross-functional teams to understand data needs and deliver solutions that meet those requirements
  • Work closely with data scientists, analysts, and software engineers to ensure seamless integration of data solutions into larger systems
  • Identify and resolve data quality issues, ensuring accuracy, reliability, and consistency of the data infrastructure
  • Continuously monitor and improve data pipelines and processes, identifying opportunities for automation and optimization
  • Stay updated with emerging trends, technologies, and best practices in data engineering, data modeling, and backend Java engineering
  • Provide technical guidance and mentorship to junior team members, fostering their growth and development

Basic, Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Minimum five years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions

Other Desired Qualifications:

  • Solid understanding of SQL and expertise in working with relational databases (e.g., PostgreSQL, MySQL)
  • In-depth knowledge of data modeling techniques and experience with data modeling tools
  • Proficiency in designing and optimizing data pipelines using ETL/ELT frameworks and tools (e.g., Informatica, Apache Spark, Airflow, AWS Glue)
  • Working knowledge on Data warehousing
  • Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure)
  • ETL/ELT tools like Informatica, Apache Spark
  • Alteryx (good to have)
  • Experience with version control systems (e.g., Git) and agile software development methodologies
  • Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment
  • Client-specific tools like Alloy Registry, LEGEND tool for Alloy data modelling, PURE, Data Browser, Data Lake etc.
  • JAVA 8, REST APIs, and microservices, Spring Boot framework
  • UNIX scripting

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