Data Engineer - Python/SQL

1. Python Scripting experience 2. AWS - Glue. Step Function, Airflow DAGS, redshift, Aurrora, lambda etc 3. SQL - Advance SQL coding experience Job Summary : We are looking for an experienced and talented technical individual to join our team as Cloud DevOps Engineer to support our Cloud Data Management and Advanced Analytics platforms. In this role, a person will work with data services, data analysts and data scientist teams to help organization build out secure, scalable, fault-tolerant and high performing cloud based architecture and make data-driven decisions. Primary Duties & Responsibilities : - Design, implement, and support Cloud Data Management and Advanced Analytics platforms. - Provide technological guidance on Data Lake and Enterprise Data Warehouse design, development, implementation and monitoring. - Understand, Design and Implement Data Security around cloud infrastructures. - Provide support and guidance to Data Services and other application development teams on various AWS Products. - Work with leadership on process improvement and strategic initiatives on Cloud Platform. Knowledge, Skills, & Abilities : - Strong coding and scripting experience with Python - Experience converting Mainframe binary files from EBCDIC to ASCII - Any exposure to Mainframe technology is a plus. - Extensive hands-on experience including design and implementation across broad range of Amazon Web Services (AWS). - Working knowledge with primary AWS Services like EC2, EBS, S3, Lambda, Batch, Glue, Athena CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc. - Good understanding of implementing datalake and data warehouse in Cloud. - Experience in creating and deploying CloudFormation Templates (CFTs) - Solid understanding of various Data Management tools available in AWS - Proficiency in using AWS CLI and/or and AWS Tools for PowerShell - Good Understanding of Windows and Linux Administration along with creating and managing images in AWS is a strong plus. - Experience with Lifecycle Management of S3 Buckets. - Clear Understanding of Cloud Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users and permissions. - Good Understanding of AWS Encryption methodologies and AWS KMS Services. - Broad understanding of networking concepts such as VPC, NAT, ACL, DNS, Proxies, Firewalls, VPC Endpoints, Direct Connect, VPN etc. - Experience with any ETL and Data Visualization tools will be a plus Education & Work Experience required : - Bachelor's degree in computer science/engineering, Information Systems or equivalent work experience in a technical position - Strong coding and scripting experience with Python - Experience converting Mainframe binary files from EBCDIC to ASCII - Any exposure to Mainframe technology is a plus. - 3 years of experience in AWS DevOps Engineering including EC2, S3, ECS, Lambda, DMS, Aurora, Batch, CloudFormation, RDS, VPC, IAM and Security. - Over 5 years of experience in Information Technology - Strong coding and scripting experience with PowerShell or similar languages. - Prior domain experience of Life Insurance, Annuity or Financial Services is a plus - AWS Certifications are considered a strong plus - Excellent verbal and written communication skills. - Ability to work independently and as part of team. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 11/22/2024