This is a 12 weeks duration engagement. overlap work with US time zone We are looking for experienced Data Engineers with 5+ years of experience, to join a 12-week engagement focused on building and supporting modern
Client: MNC Payroll: VARITE INDIA PVT LTD Note: Moved to direct payroll after 3-6 months, subject to BGV report Clearance. Note: You can share the updated cv and UAN History or one payslip of the latest
Data Engineer – Databricks Job Overview We are looking for an experienced Data Engineer with strong expertise in Databricks to design, develop, and optimize scalable data pipelines and modern data platforms. The ideal candidate will have
Position: Senior Data Engineer Location: REMOTE Experience: 5+ years About the Role: We are looking for a Senior Data Engineer with strong hands-on experience in Apache Spark, Scala, and Java , coupled with a solid understanding of microservices
Data Scientist Location: Remote – India Experience: 7+ Years Employment Type: Full-Time Role Overview We are looking for an experienced Data Scientist with 7+ years of hands-on experience in traditional AI, machine learning, advanced analytics, and
Job Description About Us Masco Home Products India (MHPI) is a fully owned subsidiary of Masco Corporation , headquartered in Livonia, MI. The vision of MHPI is to be recognized as a world-class Global Business Services
Job Description – Data Engineer Position-Data Engineer Experience-5 – 10 Years LOCATION: NEWZEALAND (ON-SITE OPPORTUNITY) Job Summary We are seeking an experienced Data Engineer with strong expertise in building scalable and high-performance data platforms. The ideal
Employment type – Full time Location – Remote Working Hours - 4:00 PM – 12:00 AM IST Experience – 3 – 5 years Notice period – Immediate to 30 days About Fluidata Fluidata Analytics is an
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks,