• Job Description

  Req#: JPC - 10178084

  Data Engineer - Dallas, TX (Day 1 Onsite)

  W2 contract

  Kindly Note:

  • Local and W2 candidates only.
  • 1st interview to be conducted on Zoom.
  • Client interviews will be conducted in-person.

  Data Engineer	ETL	Must be Proficient	At least 7 years
  PL/SQL	Must be Proficient
  Data Lake Exp	Preferred
  Snowflake	Preferred
  Goldman Sachs Experience with Alloy Services	Plus

  Responsibilities:

  • 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.

  Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 5+years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions.

  Data Engineering

  Must have:

  • 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).

  • 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.

  Good to Have:

  • JAVA 8, REST APIs, and microservices, Spring Boot framework

  • UNIX scripting

  Primary Skillset: Data Engineering

  Solid understanding of SQL and expertise in working with relational databases (e.g., DB2, MySQL).

  Data Modelling knowledge

  cloud-based data platforms like Snowflake

  Working knowledge on Data warehousing

  Cloud-based data platforms and services (e.g., AWS, Google Cloud, Azure)

  Alteryx (good to have)

  ETL/ELT tools like Informatica, Apache Spark

  UNIX scripting

  Good to have:

  GS specific tools like Alloy Registry, LEGEND tool for Alloy data modelling, PURE, Data Browser, Data Lake etc

• About the company

  United Software Group, Inc. (USG) is a Global Information Technology Consulting Company established in the year 2002 with its Headquarters in Columbus-Ohio, USA. USG is operating a business in 6 countries USA, Mexico, Canada, UK, Ireland and India. USG is a Minority Owned Enterprise (MBE) offering IT consulting, Talent Management and Staff Augmentation Solutions to its Clients. USG is recognized by INC5000 as Americas Fastest-Growing Private Companies and is honored with A+ rating by BBB as a mark of a trustworthy customer-oriented organization. USG’s services are based on requirements specified by operational business users from different industries such as Banking & Financial, Consumer Good and Distribution, Telecommunication, Insurance, Engineering, Healthcare, Life Sciences, Retail, Manufacturing and Automotive.

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