1 Opening(s)
9.0 Year(s) To 12.0 Year(s)
35.00 LPA TO 40.00 LPA
Mandatory Skills: Data ingestion (structured, semi-structured & unstructured data sets in batch & real-time ),ADF, Databricks, ETL ,Datawarehouse, Developing pipelines, Data Modeling, Strong SQL Skills,Good to have: Python, Kafka( Realtime), Working Knowledge of Middleware,Responsibilities:
Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to ...
3 Opening(s)
7.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 28.00 LPA
Key Responsibilities:
Design, architect, and engineer big data solutions
Develop a modern data analytics lake house
Propose and standardize ELT, BI, AI, governance, and analytics
Publish enterprise ingress, development, transform, egress, consumption guidelines
Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
Implement continuous integration, continuous deployment, DevOPs practice
Create, ...
3 Opening(s)
3.5 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
Chat Bot Developer- AI and Machine Learning,
Strong programming skills in languages such as C#, SQL, Python etc.
Experience in developing Web Application and AI/ML based applications using Microsoft Framework and Generative AI services like Azure Open AI, Google Vertex AI and other cloud based services
Experience with Chatbot development and integration with ...
2 Opening(s)
4.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 24.00 LPA
We are currently searching for an Applications Specialist responsible for providing technical and operational support, as well as day to day support for an IT application - Intland Codebeamer ALM. This position requires a highly motivated self-starter and a team player who can efficiently work with all levels of employees. ...
1 Opening(s)
9.0 Year(s) To 11.0 Year(s)
28.00 LPA TO 32.00 LPA
Notice period
Immediate to 15 days
Shift
1 pm to 9 PM
Mode of Work
Hybrid
Mandatory Skill combination: Mandatory skill Kafka, Multiple Kafka connector, Streaming Data processing.
In some cases, Databricks and PySpark knowledge is required.
JD:
Hands-on experience working on Kafka connect using schema registry in a very high-volume environment.
Complete understanding of Kafka config properties (acks, timeouts, buffering, ...