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
Were hiring for Snowflake Data Engineer with Infojini Job Summary We are seeking a highly skilled Snowflake Data Engineer to design, develop, and optimize scalable data pipelines. The ideal candidate will leverage Snowflake’s cloud-native features alongside
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,
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,
Microsoft Fabric Consultant / Senior Consultant / Lead (Contract) Employment Type: Contract Duration: 6–12 Months (Extendable) Location: Remote Experience: 6–8 Years Availability: Immediate Role Overview We are seeking an experienced Microsoft Fabric Consultant to lead enterprise-scale
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
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
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
Save the Children International has an exciting short term opportunity for a Waliku Data Analyst (12m). Waliku is a Save the Children technology team that provides bespoke solutions for digital data capture and analytics on learner
EazyML, recognized by Gartner, EazyML ( 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
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
Skill: Big Data Engineer (Pyspark + SQL) Exp: 5 to 8 years Loc: Pune & Chennai JD Lead end to end analysis of largescale multisource datasets using Big Data technologies driving insights for strategic and operational decision
Position Objective Owns the end-to-end migration of data from legacy systems into the target platform. Responsible for designing, building and executing scalable migration pipelines while ensuring data integrity, auditability and business continuity. Key Responsibilities Own full
Senior Data Engineer (Azure / Microsoft Technologies) Location: India (Remote, Full-Time) Experience: 7+ Years (Strong Hands-On, Production-Grade) Role Overview Design, build, and operate modern, cloud-native data platforms on Microsoft Azure. Own end-to-end data pipelines with focus
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
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
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,