56 Job openings found

Must Have Skills: ML Engineer, Snowflake & MLflowExternal Description:We are seeking an ML Engineer with strong expertise in deploying, monitoring, and managing machine learning pipelines on Snowflake. The ideal candidate will act as a bridge between the Data Engineering team and the ML team, ensuring seamless integration of ML models into ...

Title: ML Engineer Experience Level: 5 - 10 YearsMode: Onsite/permanent  Notice Period: immediate/ 20 days  Location: Sholinganallur, Chennai Job Description: Hands-on experience of deployment of models on Snowflake, and writing stored procedures for the same, OR Hands-on experience with Cortex AI and its frameworks. Experience in doing indexing, parsing, and Document AI within Cortex. ML engineer, ability and experience to deploy models ...

Position Overview:We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions ...

  The preferred working location for this role is the Medtronic facility located in Hyderabad - India   Bring your talents to an industry leader in medical technology and healthcare solutions – we’re a market leader and growing every day. You can be proud to be a part of technologies that are rooted ...

Responsibilities and day-to-day life: You will be working on the core data pipeline that moves data from all our customers to our warehouses via APIs. The responsibility will include extracting data via APIs from multiple cloud platforms, integrating it, and mapping it on our platform. To perform the data extraction, the employee ...

Looking for smart and passionate Senior BI Engineer, who will build and maintain a data warehousing design to generate reports on financial and market intelligence to aid in business performance monitoring and business decision making. Key Responsibilities• Overall responsible on the Implementation of the Tasks allocated during the sprint.• Ensure the ...

Database Engineering: Design, implement, and maintain RDBMS databases for transactional systems with focus on performance, scalability, and reliability Develop and manage data solutions within Microsoft Fabric ecosystem, including data warehousing, lakehouses, and real-time analytics Optimize database performance through query tuning, indexing strategies, and resource management Implement and maintain database security, backup, recovery, and disaster ...

Job Description: Experience: 3-5 years Work Mode: Remote Shift time: 5 am to 2 pm Joining: Immediate   Job Summary: This role is for someone who builds and manages data warehouses (DWH) using Microsoft Azure services. The person should be strong in designing how data is structured (schemas), how data moves from ...

Python, SQL, Spark, Pandas, Airflow, Azure Data Factory, or equivalent, Azure (preferred), AWS or GCP, PostgreSQL, MS SQL Server, NoSQL (MongoDB, etc.), S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP. Programming Languages: Proficiency in Python Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and collaboration skills.

💼 Position:  SQL Engineer (Remote) Experience Level: 3–5 years Compensation: ₹10 LPA Work Mode: Fully Remote Shift: 5 AM–2 PM IST (aligned with New Zealand morning hours) Language Requirement: Excellant English—daily interaction with NZ-based stakeholders 🔧 Role Overview As a Data Warehouse & SQL Engineer, you’ll be instrumental in shaping and maintaining Azure-centric data solutions for our New Zealand-based client. This ...