Data Engineer - Python/SQL

Data Engineer - Python/SQL

17 Oct
|
Rigel Networks
|
Chennai

17 Oct

Rigel Networks

Chennai

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)

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