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AWS Bigdata - Senior Engineer

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  • Posted 8 hours ago
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Job Description

Why Join Iris
Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions
Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.
About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job - it's a launchpad for growth.
Our Employee Value Proposition, Build Your Future. Own Your Journey.reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best - both personally and professionally.
Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it .

Job Description

Key Responsibilities

  • Design, develop, and maintain scalable Big Data solutions on AWS
  • Build and optimize data ingestion, transformation, and processing pipelines
  • Work with large-scale structured and unstructured datasets
  • Implement ETL/ELT workflows using cloud-native and Big Data tools
  • Optimize performance, cost, and reliability of AWS data services
  • Ensure data quality, security, and governance best practices
  • Mentor junior engineers and contribute to technical best practices

Technical Skills (Must Have)

AWS Cloud

  • Strong hands-on experience with AWS services such as:
    • S3, EC2, EMR, Glue, Athena, Redshift, Lambda, Airflow
    • IAM, CloudWatch, CloudFormation / Terraform
    • Exposure to Data Lake / Lakehouse architectures
  • Experience in cost optimization and performance tuning

Big Data & Data Engineering

  • Strong experience with Apache Spark (PySpark/Scala)
  • Hands-on with Hadoop ecosystem (HDFS, Hive, Sqoop, HBase - as applicable)
  • Experience with streaming frameworks (Kafka / Kinesis preferred)
  • Solid understanding of data modeling and warehousing concepts

Programming & Tools

  • Proficiency in Python / Scala / Java
  • Strong SQL skills
  • Experience with Linux/Unix environments
  • Version control using Git

Good to Have

  • Knowledge of DevOps & CI/CD pipelines
  • AWS certifications (Associate or Professional)
  • Experience working in Agile/Scrum teams

Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and in cross-functional teams
  • Ownership mindset with attention to detail

Mandatory Competencies

Big Data - Big Data - HDFS
Big Data - Big Data - HIVE
Big Data - Big Data - Hadoop
Big Data - Big Data - Pyspark
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Git
Database - Database Programming - SQL
Operating System - Operating System - Linux
Programming Language - Scala - Scala
Cloud - AWS - Amazon EC2 / Autoscalaing / Load Balancing, AWS App Runner
Cloud - AWS - AWS S3, S3 glacier, AWS EBS
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Cloud - AWS - Amazon IAM, AWS Secrets Manager, AWS KMS, AWS Cognito
Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Terraform
Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight
ETL - ETL - AWS Glue
Beh - Communication and collaboration

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.

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About Company

A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.

Job ID: 136293215