AWS Data Engineer

2 weeks ago


Pune, India AAR Consultancy Full time

Role : AWS Data Engineer


Job Description :

Your role includes :


- Collect, manage and convert raw data into usable information for business analysts

- Improve data reliability and quality by combining raw information from different sources to create consistent and machine-readable formats

- Able to integrate various data types and sources (stream, API, various data formats, file formats) into AWS environment

- Development of efficient processing and ETL pipelines for Automotive, Customer, Web, Sales and Media Data

- Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling

- Data-driven product development in the Customer & Digital Marketing segment

- Conduct complex data analysis and report on results

- Support in turning proof-of-concept projects into production ready and scalable software solutions

- Automation through CI/CD pipelines of the delivery of the data science products in our cloud environment

- Troubleshoot and resolve issues in production environments

Qualifications :

- Preferably completed studies with a relevant specialization in Computer Science or equivalent fields

- 3 + years' Work experience as Data Engineer

- Deep expertise in Python.

- Good hands on experience on AWS Glue, AWS S3, AWS Athena, AWS Redshift, AWS Lambda, AWS Step Function, AWS Quicksight& AWS Analytics services.

- Extensive experience in cloud technologies and platforms such as AWS, Azure or Google

- Hands-on experience with containerization technologies like Docker and platforms such as Kubernetes

- Understanding of DevOps principles and good experience with CI/CD tools (Git, Jenkins, Terraform, Ansible, CloudFormation, etc.)

- Software development experience.

- Knowledge about web services, APIs, RESTful services

- Basic knowledge of system administration in Linux/Unix or Windows, virtual networking, DNS, TCP/IP etc.

- Experience and knowledge about networking and security in cloud environments

- Data engineering knowledge and experience in tools such as Kafka, Spark streaming, Pentaho Data Integration, Talend, Apache Hudi, etc.

- SQL and NOSQL database engine knowledge such as Oracle, MySQL, SQLServer, Cassandra, MongoDB, AWS DynamoDB, AWS Athena, etc.

- Familiar with the concepts of monitoring, metrics, capacity management (Grafana, Prometheus, ELK)

- Strong focus on Code Quality, Robustness, Automation, Testing and Monitoring

(ref:hirist.tech)
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