Senior Data Engineer
Apply now »Posted On: 25 Jan 2025
Location: Noida, UP, India
Company: Iris Software
Why Join Us?
Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations? It’s happening right here at Iris Software.
About Iris Software
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 at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version.
Job Description
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Collaborate with data engineers, data consumers, and other team members to produce simple, functional, and elegant solutions that balance the data needs across the organization.
- Solve complex data problems to deliver insights that helps the organization achieve its goals.
- Create data products that will be used throughout the organization.
- Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.
- Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviews.
Technical Qualifications:
- 5+ years relevant and progressive data engineering experience.
- Deep Technical knowledge and experience in Databricks, Python, Spark, Scala, AWS architecture and platform including Glue, Lambda pipelines etc.
- Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, SQL Server, Data Lake, file-based, SQL and No-SQL database).
- Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes.
- Experience developing batch ETL pipelines; real-time pipelines are a must.
- Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data.
- Thorough knowledge of SQL Server including T-SQL and stored procedures.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Mandatory Competencies
Perks and Benefits for Irisians
At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment.
Join us and experience the difference of working at a company that values its employees' success and happiness.