Aws Data Engineer

AWS Data engineer

NOTICE PERIOD MUST BE 30 DAYS OR LESS

Locations : Hyderabad , Pune, Chennai, Kochi

Experience : 4-8 Years only

Date of Interview : 7th March Saturday (virtual)

Desired Competencies (Technical/Behavioral Competency)

• Minimum 4 years of professional experience in data integration and management
• 3+ years of hands on development experience in AWS Glue, Lambda functions, CloudFormation, Pyspark
• Hands on working experience in AWS GLUE ETL tool and having good knowledge on any of the ETL tools(Informatica cloud,Talend etc.)
• Must have working experience with SQL, and databases (e.g.: Postgres, Redshift) implementing Data Models.
• Expertise with Python Language and Apache Spark. Have working experience in projects involving these.
• Strong hands on exposure to AWS Analytics services particulary Lambda,Step functions, Glue, Data-Pipelines
• Understanding and technical knowledge on AWS service like EC2, S3. Should have used these technologies in previously executed projects.
• Strong AWS development experience for data ETL/pipeline/integration/automation work. Should have a deep understanding of BI & Analytics Solution development lifecycle.
• Full Flexed in AWS cloud development & Automation for Analytics. Should have a deep understanding of AWS Services (Glue, Lambda, S3, EC2), Visual Studio, SQL Server, SSIS, Matillion; Python
• Strong experience on real-time scalable workflow implementation.

Good-to-Have

• Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.
• Experience working on multiple concurrent projects.
• Excellent problem-solving skills.

Responsibility of / Expectations from the Role

• Developer will be part of an Agile Development team focusing on Sprint Agile implementation
• Developer will be developing data ingestion pipelines from heterogenous sources like databases, Files, APIs, Kafka streaming etc using a variety of services
• Developer may be assigned to deliver the data from AWS data platform for different consumption use cases and services
• Developer may be engaged in peer reviews to ensure code accuracy and well architected architecture and implementation
• Developer may be asked to do client demo or another project demo
• Developer must be proactive in escalating impacting issues and be resourceful to look for alternative
• Developer may have to work on tight timelines sometimes