Iris Software - Data Engineer - Artificial… - Jobeax
Vacancy description
Iris Software - Data Engineer - Artificial Intelligence/Machine Learning in Pune, India
IRIS SOFTWARE TECHNOLOGIES PRIVATE LIMITED
India, Pune
Iris Software - Data Engineer - Artificial Intelligence/Machine Learning in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description :Immediate Joiner required for the role of Data Engineer is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven https://jobeax.com/link/DYAPgQfCPcKBBBlq to the Senior Director of Data Platforms, this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data https://jobeax.com/link/uCbslOSe0BEr08EQ position combines hands-on engineering expertise with architectural vision and cross-functional https://jobeax.com/link/IDFzYEu9Ue0tFQHA Lead Data Engineer will guide engineering teams, influence platform strategy, and establish best practices across the organizations data https://jobeax.com/link/Rxp61lee69YeFmrt Qualifications :- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.- 8+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.- Deep expertise in Python, PySpark.- Strong hands-on experience with Databricks (Spark, Delta Lake, Workflows).- Strong experience with AWS (S3, IAM, Textract, Bedrock or equivalent).- Experience with design and implement scalable document ingestion pipelines using Databricks Auto Loader and AWS S3.- Understanding of vector embeddings and semantic search.- Strong understanding of data governance, privacy, and compliance in regulated industries (healthcare, life sciences).Good to Have :- Advanced knowledge of data modeling, lakehouse/lake/warehouse design, and performance optimization.- Familiarity with generative AI platforms and use cases.- Contributions to open-source projects or thought leadership in data engineering/architecture.- Experience with Agile methodologies, CI/CD, and DevOps practices.- Exposure to FastAPI, or API-based ML services.- Experience evaluating LLM output https://jobeax.com/link/x9syMwGh42X5veir Responsibilities :- Lead Engineering Teams: Provide technical leadership and mentorship to data engineers, fostering a culture of excellence, innovation, and continuous improvement.- AI/ML Enablement: Collaborate with Data Science and ML Engineering teams to operationalize models, implement AI orchestration frameworks (e.g., MLflow, Airflow), and ensure scalable deployment pipelines.- Platform Strategy & Governance: Define and enforce architectural standards, data governance policies, and compliance frameworks (HIPAA, SOC 2, GDPR, etc.) across the data platform.- Performance & Reliability Optimization: Drive observability, automation, and performance tuning across data pipelines and infrastructure to ensure reliability at scale.- Cross-Functional Collaboration: Partner with product, analytics, compliance, and infrastructure teams to align data architecture with business goals and regulatory requirements.- Innovation & Thought Leadership: Stay ahead of industry trends, evaluate emerging technologies, and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven https://jobeax.com/link/Ze3zVpVYGDqyACxD interested please share your profiles with the below details :Please crosscheck and share the below details as well.- Employment & Documentation Confirmation : (Yes/No) - All Educational Documents Available : Yes/No- All Previous Employment Documents (Offer, Experience & Relieving Letters) Available : Yes/No- Any Missing Employment Documents : Yes/No (If Yes, please specify)- Any Employment Overlap in UAN/PF History : Yes/No- All Previous Employments Declared in Resume : Yes/No (ref:hirist.tech)
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... directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Principal Software Engineer - Java Provide technical leadership guidance across the team and broader engineering organization. ...
... Kotlin, Scala , or similar OOP languages. - Experience designing flexible systems that absorb changing requirements without a rewrite. - Solid understanding of data architecture and schema design , and strong knowledge of modern database systems ( Postgres, DynamoDB ). - Hands-on experience with cloud platforms like AWS. ...
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We are seeking a Senior Data Engineer with 5+ years of experience in designing and building scalable data platforms, ETL pipelines, and data warehousing solutions. The ideal candidate will have strong expertise in distributed data processing, cloud technologies, and software engineering best practices. Key Responsibilities: ...
... hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering and warehousing roles. (ref:hirist.tech)
... and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions ...
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... modern modeling frameworks) to expose reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks ...
... while designing and executing strategies that align workforce capabilities with the agility required to stay ahead of what's next. We are currently hiring for Data Engineer | Digital Analytics expert for global healthcare and health insurance domain. based healthcare provider and health insurance organization delivering ...
... https://jobeax.com/link/DkPro09N04CD2GIL is in it for you :- Opportunity to work on large-scale cloud data engineering projects.- Exposure to modern Azure and Databricks technologies.- Collaborative and innovation-driven work culture.- Excellent learning and career growth opportunities.- Competitive compensation and benefits. (ref:hirist.tech)
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Job Title: Senior Data Engineer At Ganit , we are not just data geeks – we are a family of scientists, refiners, and artisans. Our mission is to bridge the gap between intelligence and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the ...
... or near-real-time data streaming applications using Apache Flink. Coding & Debugging: Write clean, readable, and well-documented code in Python. Continuous Learning: Actively participate in code reviews, learn best practices from senior team members, and stay updated on the latest data engineering trends. Must-Have Qualifications: ...
... and perform root-cause analysis. Follow modern software engineering practices including Git, CI/CD, testing, documentation, and code reviews . Contribute to data platform architecture, engineering standards, and continuous improvement initiatives. Support data governance, cataloguing, lineage, and metadata management practices ...
... tools to streamline data engineering workflows. Collaborate across teams to facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, and regulatory compliance Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...
... hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering and warehousing roles. (ref:hirist.tech)