Databricks - Engineer
Iris Software · Noida · onsite · Posted 1d ago
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About this role
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.
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.
At Iris, every role is more than a job - it's a launchpad for growth.
Job Description
Mandatory Skills: PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, Snowflake
Key Responsibilities
- Develop and maintain scalable data pipelines and data processing solutions using PySpark.
- Design and implement data ingestion, transformation, and processing workflows to support analytical and operational data requirements.
- Build and maintain data solutions using Snowflake or Delta Lake on Databricks to support enterprise data platforms.
- Develop batch and near real-time data processing pipelines leveraging modern data engineering practices.
- Implement event-driven data integration solutions using Apache Kafka or Amazon Kinesis.
- Develop data streaming workflows to support reliable and scalable data movement across systems.
- Configure and maintain workflow orchestration solutions using Apache Airflow or Databricks Workflows.
- Monitor and support scheduled data processing jobs to ensure successful execution and operational stability.
- Perform data validation, reconciliation, and quality checks to ensure data accuracy and consistency.
- Utilize AI-assisted engineering tools, code generation capabilities, and developer productivity solutions to improve data engineering efficiency while adhering to organizational engineering standards.
- Support development of reliable data products by contributing to data quality, metadata, documentation, and business-ready datasets that enable trusted data consumption.
- Troubleshoot data pipeline failures, workflow issues, and processing bottlenecks through root cause analysis.
- Support testing, deployment, and production support activities for data engineering solutions.
- Maintain technical documentation, workflow definitions, and operational procedures.
- Collaborate with various teams and stakeholders to support successful data platforms and analytics initiatives.
Behavioral Competencies
- Demonstrates ownership and accountability while delivering high-quality data engineering solutions.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Maintains a quality-first mindset while developing scalable and reliable data processing solutions.
- Apply strong analytical and problem-solving skills to resolve data engineering and platform challenges.
- Shows adaptability and willingness to learn evolving data engineering technologies and practices.
- Communicates clearly by sharing progress, risks, and dependencies proactively.
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 Iris Software
Iris Software
IT Services & Consulting
4.3k+
employees
1991
35 years old
Edison, New Jersey
United States (USA)
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