BIg Data Developer6 Years

• Designing and developing scalable data processing systems using Big Data technologies.
• Writing efficient maintainable and reusable code in Python.
• Implementing data processing pipelines to extract transform and load (ETL) large volumes of data.
• Collaborating with crossfunctional teams to gather and analyze requirements.
• Optimizing data storage and retrieval processes for performance and scalability.
• Implementing automated testing and continuous integration/continuous deployment (CI/CD) pipelines.
• Troubleshooting and debugging issues in production environments.
• Keeping uptodate with emerging technologies and best practices in Big Data and data engineering.

• Bachelors degree in Computer Science Engineering or a related field.
• 69 years of experience working as a Big Data Developer or Data Engineer.
• Proficiency in Python programming language.
• Strong understanding of data manipulation and analysis libraries such as NumPy and Pandas.
• Experience with Big Data technologies such as Hadoop Spark or Kafka.
• Familiarity with SQL and NoSQL databases.
• Handson experience with Jenkins or other CI/CD tools.
• Excellent problemsolving and analytical skills.
• Strong communication and teamwork abilities.
• Ability to work independently and deliver highquality results within tight deadlines.
• Immediate availability or notice period of 15 days or less preferred.

big data,ci,cd,python