Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Cyan360 Senior AWS Data Engineer Apache Spark.
India Jobs Expertini

Urgent! Cyan360 - Senior AWS Data Engineer - Apache Spark Job Opening In India, India – Now Hiring Cyan360

Cyan360 Senior AWS Data Engineer Apache Spark



Job description

<p>Position : Senior AWS Data Engineer<br/><br/>Location : Remote<br/><br/></p><p>Salary : Open<br/><br/>Work Timings : 2 : 30 PM to 11 : 30 PM IST<br/><br/>- Need someone who can join immediately.- <br/><br/>POSITION SUMMARY : <br/><br/>- Data Engineer for the Enterprise Data Hub Team.

They will work with multiple stakeholders to develop data objects and pipelines on AWS Cloud Platform.<br/><br/>- They will work with other IT teams to work on data solution projects and deliver products.<br/><br/>- They will work on integrating many different system data sources and harmonize the process and data model.<br/><br/></p><p>Responsibilities : <br/><br/>- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.<br/><br/>- Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.<br/><br/>- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.<br/><br/>- Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.<br/><br/>- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.<br/><br/>Required Experience and Skill sets : <br/><br/>- Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.<br/><br/>- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.<br/><br/>- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.<br/><br/>- Strong experience with Apache Spark for data processing and analytics.<br/><br/>- Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.<br/><br/>- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.<br/><br/>- Experience with version control systems (e.g., Git) and CI/CD pipelines.<br/><br/>- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.<br/><br/>- Strong problem-solving skills and attention to detail.</p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Cyan360 Senior Potential: Insight & Career Growth Guide