{"id":3299727,"url":"https://alion.io/job/iris-software-etl-data-senior-engineer","title":"ETL Data - Senior 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":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":18000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-26T22:29:13Z","employer_posted_date":null,"last_verified_at":"2026-10-26T22:29:13Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Why Join Iris\n\nAre you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions\n\nJoin Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.\n\nAbout Us\n\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.\n\nWith 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.\n\nOur 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\n\nAt Iris, every role is more than a job — it's a launchpad for growth.\n\nOur 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.\n\nWe 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.\n\nCurious 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 here.\n\nJob Description\n\nMandatory Skills:\n\nDatabricks Workflows, Delta Lake on Databricks, Snowflake, PySpark, Amazon Kinesis\n\nKey Responsibilities\n\nDesign scalable data engineering solutions using PySpark and modern distributed data processing frameworks.\nDefine data ingestion, transformation, and processing architectures aligned with business and analytical objectives.\nDesign and optimize Snowflake or Delta Lake on Databricks solutions to support enterprise-scale data platforms.\nLead implementation of high-performance batch and streaming data pipelines.\nDesign and optimize event-driven data architectures using Apache Kafka or Amazon Kinesis.\nDefine data streaming standards, integration frameworks, and scalable processing patterns.\nArchitect workflow orchestration solutions using Apache Airflow or Databricks Workflows.\nEstablish monitoring, scheduling, and operational controls for reliable pipeline execution.\nDrive data quality, validation, reconciliation, and governance practices across data engineering solutions.\nDesign data engineering solutions following modern Lakehouse architecture principles, data observability practices, and platform engineering standards to improve scalability, reliability, and operational visibility.\nDrive development of business-focused data products by improving data quality, discoverability, usability, documentation, and trusted data consumption across analytical platforms.\nPromote responsible use of AI-assisted engineering capabilities to improve development productivity, testing, documentation, and engineering quality.\nReview data pipeline designs and implementations to ensure adherence to engineering, scalability, and performance standards.\nTroubleshoot complex data processing, workflow, and streaming platform issues through detailed root cause analysis.\nMentor team members on PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices.\nCollaborate with various teams and stakeholders to support end-to-end data platform delivery.\n\nBehavioral Competencies\n\nDemonstrates strong ownership while driving data engineering excellence.\nCollaborate effectively with various teams and business stakeholders to ensure smooth delivery.\nPromotes quality-focused engineering through proactive validation, optimization, and continuous improvement.\nApply strong analytical thinking to evaluate complex data engineering and platform challenges.\n\nMandatory Competencies\n\nBig Data - Big Data - Pyspark\n\nData & AI - Data Engineering - Data Quality & Validation\n\nData Science and Machine Learning - Data Science and Machine Learning - Python\n\nDatabase - Database Programming - SQL\n\nData Science and Machine Learning - Data Science and Machine Learning - Apache Spark\n\nCloud - AWS - AWS SNS, AWS SQS, AWS Kinesis\n\nData Science and Machine Learning - Data Science and Machine Learning - Databricks\n\nData & AI - ETL OTHERS - Snowflake\n\nData & AI - BI Reporting and Data Visualization - ETL Concepts\n\nData & AI - ETL OTHERS - AWS Glue\n\nCloud - AWS - Dynamo DB, Amazon Aurora, Amazon RDS\n\nData & AI - Database - MS SQL\n\nDatabase - Database Programming - PL/SQL\n\nBeh - Communication and collaboration\n\nPerks And Benefits For Irisians\n\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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