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Job Title: Data Engineer

Location: TechM US Texas Plano

Years of Experience: 7 10 Years

Job Summary:

We are seeking a highly skilled Data Engineer with a strong background in AI/ML Engineering to join our dynamic team in Plano, Texas. The ideal candidate will have 7 10 years of experience in data engineering, with a proven track record of designing and implementing data pipelines and architectures that support advanced analytics and machine learning initiatives. This role requires a deep understanding of data modeling, ETL processes, and the ability to work collaboratively with data scientists and other stakeholders to drive data driven decision making.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures to support AI/ML applications.
  • Collaborate with data scientists to understand data requirements and ensure data availability for machine learning models.
  • Implement ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
  • Optimize data storage and retrieval processes for performance and efficiency.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Stay updated with the latest trends and technologies in data engineering and AI/ML.
  • Document data engineering processes and maintain clear communication with cross functional teams.

Mandatory Skills:

  • Strong expertise in AI/ML Engineering, including experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit learn.
  • Proficient in programming languages such as Python, Java, or Scala.
  • Extensive experience with data modeling, ETL processes, and data warehousing solutions.
  • Hands on experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Preferred Skills:

  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Knowledge of data governance and data privacy regulations.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Familiarity with Agile methodologies and DevOps practices.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
  • 7 10 years of experience in data engineering or a related field, with a strong focus on AI/ML Engineering.
  • Proven ability to work in a fast paced environment and manage multiple priorities.
  • Excellent problem solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.

If you are passionate about data engineering and have a strong foundation in AI/ML Engineering, we encourage you to apply and join our innovative team!