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Job Description
What role you will play in team:Design, build and maintain data pipelines for our analytics and machine learning initiatives.
What you will do:Ensure the efficient flow of data to support data science projects and business reporting.
Key responsibility:
- Design and build robust and scalable data pipelines.
- Develop and maintain data warehouse and data lake solutions.
- Work with various data sources (databases, APIs, etc.).
- Implement data quality checks and monitoring.
- Collaborate with data scientists and engineers.
- Automate data processes and improve efficiency.
Required Qualification and Skills:
- Bachelor's degree in computer science, engineering, or a related field.
- Experience with big data technologies such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
- Proficiency in SQL and at least one scripting language (Python, Shell).
- Strong understanding of data warehousing concepts.
- Experience with data integration tools.
Benefits Included:
- Competitive salary and benefits.
- Opportunities for professional growth and training.
- Work on challenging and impactful projects.
- Collaborative team environment.
A Day in the Life:A typical day involves working on designing, building, and maintaining data pipelines, resolving data issues, and collaborating with other engineers and data scientists.
Skills
SQLPythonHadoopSparkAWSAzureGCPData WarehousingData PipelinesIf 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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