Senior Cloud Data Engineer

Job Title: Senior Cloud/Data Engineer Location: McLean, VA 22102 (Needs to be onsite for 5 days a week – Monday through Friday) Interview Information – Rounds: Single round Duration: 60 minutes Interview Type: In Person Supplier Vetting Questions: Q1) Please describe your experience with AWS - What services have you used? What for? Q2) Please describe your experience with cloud technologies? Which services/tools have you used and how? Job Description: Strong hands-on experience building ETL pipelines using Apache Spark. Experience with S3, DynamoDB 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 Developing Data Platforms on AWS Proficient in Agile Software Development methodology, processes, and practices. Experience with the full ELK Stack - Elasticsearch, Logstash, Kibana, Beat agents and REST API integration. Experience with programming languages like Java, JSON etc. Fine tuning the Search Relevancy according to the business requirements. Develop Elastic alerting solutions using Watchers and Kibana. Generate Alerts that will integrate into Service Now/Jira for ticketing. Qualifications: - Bachelor’s degree in related field - Strong, analytical, focused, self-driven with excellent problem-solving skills - Minimum 8 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 Job Type: Contract Pay: Up to $65.00 per hour Expected hours: 40 per week Schedule: 8 hour shift Work Location: In person