Inviting Applications For Data Engineer at Iris Software

Job Description

ABOUT IRIS SOFTWARE

IRIS Software Inc is a CMMI ML 5 professional software services organization offering high-quality, cost-effective solutions to businesses. It has helped meeting the IT requirements of companies ranging from those among the Fortune 100 to medium-sized firms by utilizing best-of-breed technologies, rapidly deployable solutions and flexible engagement models. With offices in India, USA , Mexico and Canada, we employ 4300+ highly talented professionals and domain experts. We are strategic partners to over 25 Fortune 100 companies and our consistent striving for high customer satisfaction has translated into long-standing relationships and a preferred-partner status with many of our partners. Over 93% of the customers we have worked with have chosen to re-engage with us. IRIS is a quality and security conscious organization and has maintained steady progress in its quality management and information security management programs over the years. Namely Software Process Maturity: Certified to ISO 9001:2008 since 2002 | CMMI ML 5 | ISO 27001:2013

Visit us at www.irissoftware.com

Job information:

Position: Data Engineer

Role: Permanent

Exp-7+ years

Shift Timings- 8AM to 5PM

Location- Gurgaon, Near Ambience Mall ( 3 days work from office)

Job description

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable ELT/ETL pipelines and cloud-based data platforms in a Data Lake/Data Warehouse environment.

Key Responsibilities:

• Design and develop resilient ELT/ETL data pipelines on cloud platforms
• Build and optimize data processing using Python, SQL, PySpark
• Ensure data quality, governance, and reliability across pipelines
• Deploy and manage solutions using AWS services (S3, Glue, EMR, Athena, Lambda, SNS, SQS, EC2, VPC)
• Implement CI/CD pipelines and follow DevOps best practices
• Collaborate with stakeholders and mentor junior engineers

Required Skills:

• Expert hands-on experience with Python, SQL, PySpark
• Solid understanding of Data Lakes and Data Warehouses
• Hands-on experience with AWS data & compute services
• Experience with Data Governance, Data Quality frameworks
• Proficiency in Jenkins, CI/CD, Git-based source control

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Keyskills:   Pyspark ETL AWS Python SQL