Key Responsibilities:

Own and deliver Projects/Enhancements associated with Data platform solutions
Develop scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
Develop solutions using Pyspark,Alteryx,SQL and databases, AWS Athena, S3, Redshift, AWS Glue and other Data Engineering technologies
Write Complex Queries and edit them as required for implementing ETL/Data solutions
Propose Data load optimizations and continuously implement to improve the performance of the Data loads

Education

Bachelor’s degree in Computer Science or equivalent with 3-5 years of experience
More than 2+ years’ experience in a data engineering role with a strong understanding of technical, business, and operational process requirements.

Knowledge,Skills, Abilities:

• Full life cycle implementation experience in AWS using Pyspark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other managed services
• ETL experience with tools like Alteryx (preferred), Informatica, SSIS very important
• Excellent written, verbal and inter-personal communication skills
• Ability to analyze trends associated with huge datasets
• Excellent prioritization and problem-solving skills

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