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The core competencies required for this role include -
• Bachelor’s degree in computer science engineering
• 0-2 years of hands-on experience in data engineering field
• Expertise SQL and Python
• Excellent written and verbal communication skills
Nice to have -
• Experience with Spark and Databricks
On a day-to-day basis, you'll focus on -
• Building, enhancing, and troubleshooting complex data pipelines
• Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines
• Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines
• Contribute towards the design and architecture of data pipelines
• Implement data quality and reliability measures across data pipelines
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