Hi,
I hope this email finds you well.
This is Achutha HR from Teralanx Solutions. We are currently hiring for AWS Data Engineering and came across your profile, which looks like a great fit.
Teralanx Company(Payroll) Client to IBM interested apply here already shared by other venders don't apply again
Data Engineer - Data Platforms-AWS
Experience Needed:- 8 + Years Experience(Developer-Standard)
Rel exp: 8 Years
Location:- Bangalore / Hyderabad
Mandatory skills:-
Primary Skills: • Core AWS Data Engineering & DevOps: Python, SQL, CI/CD (Jenkins, CloudFormation), ETL/ELT, Data Lake, AWS Data Services (IAM, Glue, Crawlers, Glue Data Brew, Step Functions, Lambda, Redshift, SQS, SNS, Event Bridge, Athena, Lake Formation), Bitbucket/GitHub.
Secondary Skills:- • Streaming (Kinesis, Kafka), Docker, SonarQube, Maven, Groovy .
Nice to have skills: • Cloud Bees, QA integration, Agile PM, Documentation, Continuous learning
Qualifications:
Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool
AWS Solutions Architect or AWS Developer Certification required
Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail
Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred)
Solid experience building solutions on AWS data lake/data warehouse
Analyze, design, development, and implementation of data ingestion pipeline in AWS
Knowledge implementing ETL/ELT for data solutions
End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins
Programming experience with Python, Shell scripting and SQL
Knowledge of analyzing data using SQL Stored procedures
Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
Good Experience of DevOps practice
Experience with modern source code management and software repository systems (Bitbucket)
Experience with programming languages (Python)
Experience with scripting languages (Shell, Groovy)
Experience with API deployment for tooling integration
Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries)
The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion
Experience with administering DevOps tools in SaaS
Experience using DevOps Tools (SonarQube, Artifactory etc.)
Experience using build tools (Maven, MS Build and Gradle)
Experience using containers (Docker)
Experience using Atlassian suite (Jira, Confluence)
Experience of Infrastructure as Code using CloudFormation
Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
Part of DevOps QA and AWS team focusing on building CI/CD pipeline
Responsible for writing and maintaining Jenkins Pipelines" Bangalore
