| Looking for Data Engineer: Onsite: AWS Certification GC-EAD, GC and USC need Banking and Finance industry background at Newark, New Jersey, USA |
| Email: [email protected] |
| Job Title: Data Engineer Job Duration: 6+Months Job Location: Newark, NJ Hybrid Role Visa: GC-EAD, GC and USC Banking and Finance industry background Need candidate 3-5 years of experience or max 6 years with AWS Certification What You"ll Do: Designing, building and maintaining efficient, reusable and reliable architecture and code. Ensure the best possible performance and quality of high scale web applications and services. Participate in the architecture and system design discussions. Independently perform hands on development and unit testing of the applications. Collaborate with the development team and build individual components into complex enterprise web systems. Work in a team environment with product, frontend design, production operation, QE/ QA and cross functional teams to deliver a project throughout the whole software development cycle. Responsible to identify and resolve any performance issues. Keep up to date with new technology development and implementation. Participate in code review to make sure standards and best practices are met. What You Bring: 3 - 5 years of experience as a 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. 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 Java, Python/ Scala, Shell scripting. Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, and 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 and 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. Experience with business intelligence tools such as Tableau, Power BI or equivalent. Aware of Machine learning algorithms (supervised/unsupervised). Nice to have AWS developer certificate Resource Consultings Services Inc powered by Keywords: quality analyst business intelligence sthree green card New Jersey |
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| Wed Mar 13 22:10:00 UTC 2024 |