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Job Description Technical Must Haves: • Hands on experience with AWS, Experience with Glue, EMR, Lambda, etc. • Also need experience with Spark. • Must be proficient in Python and Scala. • Soft Skill Must Haves: Proactive, a self-starter. Required Skills: • Strong hands on experience building ETL pipelines using Apache Spark. • Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM. • Proficient in Python and/or Scala programming languages • Knowledge of application development lifecycles, & continuous integration/deployment practices • Experience with development on AWS and cloud native applications • Experience with S3, DynamoDB, Kinesis and Snowflake • Experience with Developing Data Platforms on AWS • Proficient in Agile Software Development methodology, processes, and practices. Qualifications: • Bachelors degree in related field • Strong, analytical, focused, self-driven with excellent problem-solving skills • Minimum 5 years of hands on in-depth experience of AWS Data Pipelines development and implementation is required • AWS Associate or Professional level certifications is a plus
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