Job ID : 29567
Location : Reston, VA
Company Name : Atechstar
Job Type : Full-Time, parttime, contract, training
Industry : Information Technology
Salary : $258900 - $499000 per year
No. of Positions : I have ongoing need to fill this role
Required Skills : AWS Data Engineer.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Required Qualifications: Candidate can be located anywhere in US for this position. This position may require travel in the US and Canada. Bachelors degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 4 years of experience with Information Technology Data Engineer with 3 years of experience in building data intensive applications, scalability problems. Atleast 3 years of experience in building data pipelines using snowflake, Data bricks and loading data to Data Lake, SQL Database, Atleast 3 years of experience in SQL Data warehouse and Controlling and granting database access. Experience in Data Lake solution in Amazon Web Services (EKS, EMR, S3, AWS Glue, and Redshift) Highly skilled in various automation tools, continuous integration workflows Migration of on premise data (Oracle/ SQL Server/ DB2/ MongoDB) to Azure Data Lake store(ADLS) using Azure Data Factory Experience in creating Docker containers leveraging existing Linux Containers and AMI's in addition to creating Docker containers from scratch. Preferred Qualifications : Experience in Azure & AWS Data Platform, Data Base, Snowflake, AWS Redshift, Azure, Teradata, Netezza, Oracle, Splunk QL Scripting Languages and in Job Scheduling Experience in securing Cloud based modern data platforms Experience with Lean / Agile development methodologies CI / CD exposure
CloudAvent LLC Reston, VA
Responsibilities : • Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS. • Experience with Developing Data Platforms on AWS Strong
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