{"id":3481887,"url":"https://alion.io/job/iris-software-databricks-engineer","title":"Databricks - Engineer","company":{"id":3800524,"name":"Iris Software","domain":"irissoftware.com","url":"https://alion.io/company/iris-software","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":42000,"period":"year","method":"role_country_seniority_unknown","sample_n":171},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-29T18:31:21Z","employer_posted_date":null,"last_verified_at":"2026-10-29T18:31:21Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Why Join Iris\nAre 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\nJoin Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.About Us\nAt 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.\n\nWorking with Us\nAt 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\nMandatory Skills: PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, Snowflake\nKey Responsibilities\nDevelop and maintain scalable data pipelines and data processing solutions using PySpark.\nDesign and implement data ingestion, transformation, and processing workflows to support analytical and operational data requirements.\nBuild and maintain data solutions using Snowflake or Delta Lake on Databricks to support enterprise data platforms.\nDevelop batch and near real-time data processing pipelines leveraging modern data engineering practices.\nImplement event-driven data integration solutions using Apache Kafka or Amazon Kinesis.\nDevelop data streaming workflows to support reliable and scalable data movement across systems.\nConfigure and maintain workflow orchestration solutions using Apache Airflow or Databricks Workflows.\nMonitor and support scheduled data processing jobs to ensure successful execution and operational stability.\nPerform data validation, reconciliation, and quality checks to ensure data accuracy and consistency.\nUtilize AI-assisted engineering tools, code generation capabilities, and developer productivity solutions to improve data engineering efficiency while adhering to organizational engineering standards.\nSupport development of reliable data products by contributing to data quality, metadata, documentation, and business-ready datasets that enable trusted data consumption.\nTroubleshoot data pipeline failures, workflow issues, and processing bottlenecks through root cause analysis.\nSupport testing, deployment, and production support activities for data engineering solutions.\nMaintain technical documentation, workflow definitions, and operational procedures.\nCollaborate with various teams and stakeholders to support successful data platforms and analytics initiatives.\nBehavioral Competencies\nDemonstrates ownership and accountability while delivering high-quality data engineering solutions.\nCollaborate effectively with various teams and business stakeholders to ensure smooth delivery.\nMaintains a quality-first mindset while developing scalable and reliable data processing solutions.\nApply strong analytical and problem-solving skills to resolve data engineering and platform challenges.\nShows adaptability and willingness to learn evolving data engineering technologies and practices.\nCommunicates clearly by sharing progress, risks, and dependencies proactively.\nPerks and Benefits for Irisians\nIris 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. 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