Design, develop, and implement scalable data pipelines and ETL processes using Java,
, Python, Spark, and big data technologies.
Strong programming skills in Java and Python, with expertise in building scalable and maintainable code.
Proven experience in Spark cluster management, optimization, and performance tuning.
Solid understanding of data science concepts and experience working with data scientists and analysts.
Proficiency in SQL and experience with relational databases (e.g., Snowflake, Delta Tables).
Experience in designing and developing REST APIs using frameworks such as Flask or Spring.
Familiarity with cloud-based data platforms (e.g.Azure)
Experience with data warehousing concepts and tools (e.g., Snowflake, BigQuery) is a plus.
Strong problem-solving and analytical skills, with the ability to tackle complex data engineering challenges.
Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
If you are a highly motivated and skilled Senior Data Engineer with a passion for big data, data engineering, and REST API development, we would love to hear from you. Join our team and contribute to the success of our data-driven initiatives as we strive to make a significant impact in the industry.