Experience: 6- 10 Years Location: Remote Role Summary Build and maintain data pipelines and storage solutions. Responsibilities • Develop ETL/ELT pipelines • Support analytics and AI data requirements • Optimize performance and cost • Ensure data
About Data Hatch Data Hatch is a UK-based agentic AI company building data platforms and AI products for mid-market clients in healthcare, insurance, and financial services. Were a Databricks partner shipping real production systems — including
Roles & Responsibilities: Develop and deploy AI/ML models for Financial Crime use cases including AML, fraud, scam detection, and risk intelligence Work with large-scale structured and unstructured datasets using Python, SQL, and PySpark to build scalable data and
Job Post :- Senior Data Engineer Experience :- 7+ years Timing :- Approx. 5:30 PM/6:30 PM IST to start, then 8 hours a day (Basically EST time zone) Location :- Remote (India) Contract Duration :- 6
Job Title: Senior Big Data SME (Subject Matter Expert) Location: Remote Experience: 9 to 12 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time About Us :We are a dynamic team focused on building scalable,
Must Haves: -3+yrs Python experience for data engineering and backend development - API building using FastAPI - Azure AI Search for building scalable search and retrieval solutions - Strong SQL expertise Day to Day: This person will
Roles and Responsibility: 6+ years of Project Experience in IBM DataStage Aware of Datawarehouse concepts Comfortable with SQL, PL/SQL and Unix Should be good in ETL Development and Testing Should be aware of any scheduling tool
Role Purpose The purpose of this role is to support the development and maintenance of enterprise data solutions, including the Data Lakehouse, Data Warehouse, and Medallion Architecture. This role will work alongside senior engineers and architects
Role Overview We are looking for a hands-on, senior Databricks Architect to design, build, and govern our Lakehouse data platform from the ground up. You will own the end-to-end architecture of our data infrastructure — from
Data Engineer / Analytics Engineer About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very senior professionals from the financial services industry,
Job Title: Technical Architect – Data Platform & Analytics (Life Sciences) Reports To: Senior Director, Data Management & Analytics Employment Type: Full-time Workplace Type: Remote Timing: Upto 11 pm IST (Overlap with PST) The Celito Team
About the Job We are seeking a skilled Data Engineer to architect, build, and optimise scalable data platforms on cloud infrastructure. The role involves close collaboration with cross-functional teams to deliver robust, secure, and high-performance data
Job Title : AI Engineer Job Location : - 100% Remote Job type : Full Time/ Permanent Job Description We are seeking an experienced AI Engineer with strong expertise in Databricks, Generative AI, and cloud-based data
Job Purpose We are seeking a highly skilled Senior Data Engineer (Contractor) to design, build, and optimize scalable data platforms and pipelines. This role will play a critical part in developing modern data lakehouse architectures on
Job Description – Senior Databricks Engineer Job Title: Senior Databricks Engineer Experience: 8–10 Years Location: Remote Employment Type: Full-Time Job Summary We are seeking a highly skilled Senior Databricks Engineer with 8–10 years of experience in
Role: Senior Database Administrator (Microsoft Fabric & MSSQL) Experience: 8+ Years Location: Remote Shift Pattern: 24x7 rotational shifts including weekends and holidays About CyberTech CyberTech Systems and Software Inc. is a leading Enterprise Cloud Transformation provider,
Location: Pune / Bengaluru (Hybrid) Experience: 6+ Years Employment Type: Full-Time About the Role We are seeking an experienced Data Analyst with strong expertise in Python, PySpark, and SQL to support large-scale data analytics initiatives within the Banking,