19344 Airflow Jobs - Page 5

Job Title: Full Stack Java Developer Location: Chennai (Hybrid- 4 days WFO) Experience Range: 410+ years (including senior/lead capacity where applicable) About the Role We are hiring skilled Full Stack Java Developers to design, develop, and deploy scalable, cloud-native web applications. The role involves hands-on development across front-end and back-end, building microservices, implementing DevOps workflows, optimizing performance, and contributing to architecture decisions. Candidates with senior tenure may guide teams, lead Agile delivery, and drive engineering best practices. Key Responsibilities Design, develop, test, and deploy full-stack applications using Java, Spring Boot, and An...

Role Overview: You will be responsible for building and managing scalable data pipelines and real-time integrations. Key Responsibilities: - Design ETL/ELT pipelines using ADF, Databricks, Informatica, or Talend. - Work on data modeling, storage, and performance tuning. - Integrate with Snowflake, Synapse, or BigQuery. - Enable downstream BI and analytics use cases. Qualifications Required: - Proficient in SQL, Python, Spark, Kafka, Airflow, Databricks, Snowflake, ADF, AWS/Azure/GCP. Please note that the work location for this permanent role is in person. Role Overview: You will be responsible for building and managing scalable data pipelines and real-time integrations. Key Responsibilities:...

Role: Life Sciences Data Architect Experience: 12- 18 years Location: Greater Noida, Pune, Hyderabad, 5 days WFO We are seeking a seasoned Life Sciences Data Architect with deep expertise in designing and implementing modern data platforms and solutions for the life sciences domain. The ideal candidate will have strong knowledge of pharma, biotech, and medical devices data models, interoperability standards, and regulatory frameworks. Exposure to Industry 4.0 and broader healthcare domains is a plus. You will lead architecture, optimization, and governance of data platforms supporting analytics, reporting, and AI/ML workloads for global life sciences organizations. Key Responsibilities Archi...

Job Title: AI/ML Technical Lead Role Summary The AI/ML Technical Lead is responsible for leading the design, development, and deployment of machine learning and AI-driven solutions. This role involves overseeing a team of data scientists, ML engineers, and software developers, ensuring technical excellence, scalability, and business impact. The Technical Lead bridges research, engineering, and product teams to deliver end-to-end intelligent systems that solve complex business problems. Key Responsibilities 1. Technical Leadership Lead the end-to-end lifecycle of AI/ML projectsfrom problem definition and data exploration to model deployment and monitoring. Architect and design scalable machin...

One of our clients is looking for an experienced Senior Snowflake Data Engineer based in India, who can work U.S. Eastern Time (EST) hours. Key Responsibilities: We are seeking a Senior Data Engineer with 8+ years of experience in end-to-end data engineering and Snowflake development. Expert in Snowflake native features: Snow pipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, and Secure Data Sharing. Skilled in designing scalable ELT pipelines, advanced SQL/Python development, and dimensional data modeling (star/snowflake). Experienced in analyzing file formats (Parquet, ORC, Avro, JSON, CSV) and recommending performance/storage best practices. Strong in cost/performance optimization, han...

EazyML, Recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for a Senior Data Architect / Lead Data Engineer (Databricks, Apache Airflow & BERT/LLM Expert) The person can work from home (anywhere in INDIA, job location is in India). We’re hiring a Senior Data Architect to design and lead scalable, cloud-native data platforms using Databricks, Apache Airflow, Spark, and Delta Lake with experience in data architecture, ETL/ELT strategy, and orchestration , building high-performance pipelines i...

EazyML, founded by Bell Labs research veterans, specializes in Responsible AI. Recognized by Gartner, EazyML (www.EazyML.com) provides a Transparent ML platform that facilitates proactive compliance and sustainable automation. EazyML's solutions align AI/ML with business processes for quick benefits and alleviating risks. The company is associated with breakthrough startups like Amelia. This is a full-time Remote role for a Senior Data Architect / Lead Data Engineer (Databricks, Apache Airflow & BERT/LLM Expert) The person can work from home (anywhere in INDIA, job location is in India).We’re seeking a senior data engineering leader with deep expertise in Databricks, Python, and BERT/LLM-bas...

We are looking for a Senior MLOps Engineer to join our team. This is a dedicated MLOps position with a strong focus on operational responsibilities. You will be responsible for operationalizing machine learning solutions, managing infrastructure monitoring, ensuring observability, and maintaining robust CI/CD pipelines. You will work closely with software engineers, data scientists, and DevOps teams to build and scale core MLOps infrastructure that powers AI initiatives across the organization. Key Responsibilities Design, develop, and maintain end-to-end MLOps pipelines to automate the ML lifecycle from training to deployment and monitoring. Collaborate with data scientists, ML engineers, a...

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that's bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you...

6 + years of relevant work experience in data engineering and/or business intelligence. Strong python experience to work with different file formats, Kafka or any other near real time data ingest patterns. Must have knowledge of how to handle low latency data and strong stored procedure (multiple years of experience). Nice to have is experience on Airflow which is their scheduler and Tableau which is their reporting tool. Database Management / Architecture (competent) - Maintains awareness of modelling techniques covering full range of analysis situations in the context of business analysis. Selects appropriate modelling techniques for meeting assigned objectives, and models current and desi...

Required Skills: Expertise in Google Data Engineering services Big Query, Dataproc etc Strong experience in programming languages such as Python, PySpark data manipulation and engineering tasks. Expertise in SQL and NoSQL databases In-depth knowledge of data warehousing solutions Deep understanding on data warehousing concepts Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Airflow, Talend, or Informatica. Good to have skills: Understanding of DevOps Concepts in GCP. Strong understanding of data modeling concepts and techniques to create efficient and scalable data models. Experience with version control systems such as G...

Dear Candidate, Hiring for Data/Analytics Engineer position for Gurgaon location for Big Company If Interested, Kindly share your updated CV @gayatri.d@honeybeetechsolutions.com JD - Role - Data/Analytics Engineer Experience - 3-6 Years Location - Gurgaon JD in Detail - Position Name Data/Analytics Engineer Position type: Permanent Total Exp: 3-6 Years Notice Period: Immediate Asset: Laptop Mandatory for interview Work Location: Gurgaon Work Type: WFO Interview Rounds: 2 Interview Mode: Round 1 - Technical Mode Virtual / Round 2 - Technical Mode Virtual (or) F2F / Round 3 - HR Job Description Must Have We are looking for a skilled and hands-on Data/Analytics Engineer to build and maintain th...

Job Overview: We are seeking an experienced Principal Engineer (Data DevOps) to lead our Data DevOps team in building, managing, and optimizing high-scale, secure, and reliable big data platforms. The ideal candidate will combine strong technical expertise with proven leadership skills, driving best practices in cloud infrastructure, automation, CI/CD, and big data technologies. This role involves managing cross-functional priorities, mentoring engineers, and ensuring delivery of high-quality, scalable data solutions. Key Responsibilities: Lead, mentor, and grow a high-performing Data DevOps team, fostering technical excellence and ownership. Drive architecture, design, and implementation of...

We are seeking a Senior Technical Pre-Sales Engineer with strong hands-on background in enterprise systems, data platforms, and AI/ML solutioning for Manufacturing, Logistics, and Supply Chain clients.This role requires deep technical articulation , not just sales support. The candidate must be able to whiteboard architectures , challenge client assumptions, define scalable IT service delivery models , and translate operational pain points into data-driven, AI-enabled transformation solutions . Core Technical Responsibilities 1. Deep Technical Discovery & Domain Mapping Conduct architecture-level discovery sessions with enterprise and mid-market clients. Analyze existing systems such as: ERP...

Key Responsibilities Design, build, and deploy end-to-end machine learning solutions across structured (tabular) medical datasets and unstructured/non-tabular data (text, images, OCR, signals). Apply advanced ML, deep learning, and LLM-based approaches to solve real-world healthcare/medical challenges. Collaborate with cross-functional teams (engineering, product, domain experts) to translate business requirements into scalable data science solutions. Drive MLOps best practices: experiment tracking, model versioning, CI/CD, monitoring, and automated retraining pipelines. Ensure production-grade robustness using Test-Driven Development (TDD) and OOP principles in ML pipelines. Contribute to a...

Candidates for this position are preferred to be based in Bangalore, and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is on a path to be the world's largest online destination for the home. We are the largest tech first platform in the home category. Our marketplace offers over 30 million products from 23,000 suppliers and we served 23 million customers in 2024 alone. Wayfair is investing heavily in building a world class advertising business and the Wayfair Advertising team owns features that form the core of our onsite advertising business. We ensure that millions of ads served are relevant to our customers by enabling advertisers and ...

Job Title: - GCP Data Engineer with Big Query Location: - AIA Coimbatore Job Type 3 days from office (Hybrid) Minimum 6 To 13 Years Of Experience Mandatory Skills: GCP Services Big Query, Cloud SQL, Data flow Around 7+ years of experience in development in Data warehousing projects in GCP platforms, Good understanding of dimensional modelling Expertise in MySQL & SQL/PL GCP & BigQuery knowledge is must, GCP certification is added advantage Good experience in Cloud Composer, DAGs , airflow REST API development experience Good in analytical and problem solving, efficient communication Ability to lead the team members, convert requirements into technical solutions, assign the work, coordinate t...

MLOps Engineer Job Summary We are hiring an MLOps Engineer to build, deploy, and manage scalable machine learning systems in production . The role involves designing automated ML pipelines, managing the full model lifecycle, and ensuring reliable deployment across cloud or on-prem infrastructure. Key Responsibilities Design and maintain end-to-end MLOps pipelines (training, validation, deployment, monitoring) Automate CI/CD workflows for machine learning models Deploy ML models using Docker and Kubernetes Implement model versioning, experiment tracking, and monitoring Monitor model performance, data drift, and system health Collaborate with Data Science and Engineering teams for production r...

Skill: Snowflake DBT Experience : 6 to 13 Years Location : AIA - Chennai Design build and maintain ETLELT pipelines using Snowflake and DBT Develop and optimize Snowflake data models including warehouse database schema structures tables and views Build DBT models using best practices for modularity testing and documentation Implement data ingestion from multiple sources using tools such as Airflow Snowpipe , Fivetran or equivalent Optimize Snowflake performance clustering query optimization warehouse sizing caching Ensure data quality through unit tests data validation and DBT tests Collaborate with analytics BI and product teams to understand business data needs Implement best practices for...

Sr. Data Engineer, Data Engineering Head quartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500. ?? Department Overview AAA (Automation, Analytics & AI) builds automation, analytics and artificial intelligence?solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities.?The...

Location: Bangalore (Work from Office) Experience: 0 - 4 Years Type: Full-time The Business Context We are the #1 Carbon Accounting Platform for Industrial Manufacturing . We are on a mission to reduce 50% of global industrial emissions by 2030. To do this, we must ingest and process billions of data points from steel plants and supply chains across the globe. We are a team of ex-McKinsey Partners building the tech backbone of the Net-Zero movement. The Role We are looking for a Data Engineer who loves building robust, scalable data architectures. You will be responsible for designing the systems that ingest, clean, and store industrial data so our AI can turn it into carbon insights. Key Re...

General Summary: Minimum Experience: 2+ years in software development Role Overview We are looking for a seasoned Software developer with 2-5 years experience in designing, developing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will work in cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Key Responsibilities Design and develop end-to-end ML-integrated software platforms built for scale, performance, and adaptability. Strong softw...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing...

Job Description Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client qu...

Role & responsibilities Big Data Skills: 5+ years of hands-on experience implementing batch and real-time Big Data integration frameworks and/or applications in private or public cloud environments Preference for GCP Technologies include Python, Cloud Run Jobs, Cloud Composer (Apache Airflow) Experience in debugging, identifying performance bottlenecks, and fine-tuning frameworks 2+ years of experience working in a Linux environment , with the ability to interface with the OS using system tools, scripting languages, and integration frameworks 2+ years of hands-on experience in one or more modern object-oriented programming languages such as Java, Scala, or Python , including the ability to c...