Job Location: USA
QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
- Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
- AWS Solutions Architect or AWS Big Data Certification preferred
- Programming experience with Python is a must; Java/Scala is a nice to have.
- Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
- Solid experience implementing solutions on AWS based data lakes.
- Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB.
- Experience in AWS data lake/data warehouse/business analytics
- Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
- Knowledge of ETL/ELT
- Working experience with Hadoop, HDFS, SQOOP, Hive, Python, and Spark is desired Experience working on Agile projects
REQUIRED SKILLS:
- 5+ years of experience as Data Engineer.
- Experience developing business applications using NoSQL/SQL databases.
- Experience working with Object stores(S3) and JSON is must have
- Should have good experience with AWS Services – API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch.
- Serverless application development using AWS Lambda
Submit CV To All Data Science Job Consultants Across India For Free
