Data Engineer

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., Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; Master’s degree preferred. 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. Equal Opportunity Employer