Key Responsibilities:
• Design and develop data pipelines to collect, process, and store data from various sources
• Develop and maintain ETL processes to ensure the quality, completeness, and accuracy of data
• Build and maintain scalable and efficient data warehouses and data marts
•Develop and maintain data processing frameworks and tools to support data analysis and data science initiatives
• Collaborate with data scientists, analysts, and other stakeholders to identify data needs and provide solutions
• Continuously monitor and review data quality to ensure accurate and consistent results
• Provide guidance and mentorship to junior data engineers as needed
Requirements:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• At least 6 years of experience in a data engineering role, with a strong focus on data pipeline development, ETL processes, and data warehousing
• Advanced knowledge of SQL and proficiency in programming languages such as Python, Java, or Scala
• Experience with data processing frameworks such as Apache Spark or Hadoop
•Strong analytical, critical thinking, and problem-solving skills
• Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams
• Proven track record of delivering high-quality results in a fast-paced environment
Please note: Only shortlisted candidates will be contacted
EA Registration No. R1871815 (Saravanan)
EA License No. 01C4394
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