Big Data Engineer
1 week ago
We are seeking a skilled Big Data Engineer to design and implement ETL pipelines using PySpark for our Data Warehousing projects.
A successful candidate should have 3-6 years of experience in working with PySpark, Apache Spark, and Python programming.
- Key Responsibilities:
- Develop data processing tasks using PySpark, including reading data, merging, aggregating, enriching, and loading into target destinations.
- Fine-tune processes and troubleshoot performance issues using Jupyter Notebook/PyCharm.
- Experience with source code control systems like Git, GitHub, SVN, and deployment tools like Control-M.
- CI/CD tools like Jenkins, Nexus, Ansible, and Agile delivery methodologies.
- Unix/Linux Shell Scripting, data validation, unit test cases, and ETL Tools like Data Stage, Talend.
- Databricks/Delta Lake experience is an added advantage.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science or related field.
- Proficiency in Python programming and experience with PySpark.
- Strong understanding of big data concepts, data warehousing, and ETL processes.
- Excellent problem-solving skills and ability to work in a team environment.
- Ability to learn new technologies and tools quickly.
Benefits:
- Competitive salary: $120,000 - $180,000 per year.
- Ongoing training and development opportunities.
- Collaborative and dynamic work environment.
- Opportunities for career growth and advancement.
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