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Job Description
What role you will play in team: You will be a member of our growing Data Engineering team. You'll work collaboratively to design, build, and maintain data pipelines.
What you will do: You'll build robust and scalable data pipelines to process and store large datasets. You'll also ensure data quality and accuracy.
Key responsibility:
- Design, develop, and maintain ETL pipelines using tools like Spark and Hadoop.
- Implement data quality checks and monitoring processes.
- Collaborate with data scientists and engineers on data projects.
- Troubleshoot data pipeline issues and improve performance.
- Document data processes and standards.
- Ensure data security and compliance.
Required Qualification and Skills:
- Bachelor's degree in Computer Science or a related field.
- Experience with big data technologies (Spark, Hadoop, Hive).
- Proficiency in SQL and Python.
- Experience with cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and communication skills.
Benefits Included:
- Competitive salary and benefits.
- Opportunities for professional development.
- Work in a collaborative environment.
- Health insurance and other benefits.
A Day in the Life: You will spend your day designing data pipelines, writing code, testing, and debugging, as well as collaborating with teammates.
Skills
SparkHadoopHiveSQLPythonAWSAzureGCPData EngineeringIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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