1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
0.00 LPA TO 0.00 LPA
Work Location : Dubai
Budget : AED 19,000 (Maximum)
Notice Period : Early joiners preferred (Maximum 30 days)
Job Description:
We are looking for a highly skilled and motivated Spark Data Engineer to join our team. The ideal candidate will ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
Tasks/Duties:
Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations.
Structure and design the data landscape of the organization.
Look further on the following topics:
Data availability: Connecting, moving, and generating datasets for consumption.
Transformation: Feature creation, data cleansing, re-expression.
Visualization: Exploratory data analysis, intuitive presentation of findings.
Dashboarding: Guiding ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA
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 ...
1 Opening(s)
5.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
ETL - Data Ingestion ODI
Location: Bangalore
Employment type: Full Time ( Permanent)
Job Description :
Oracle analytics cloud.
Oracle BI Application environment with ODI as primary skill and OBIE as secondary
If fusion HCM is added advantage
Should know to trouble shoot OBIE.
1> Self-rating on below skills is important:
2> OBIA (Oracle BI applications)-
3> ODI-
4> OBIEE-
1 Opening(s)
9.0 Year(s) To 13.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
Lead and mentor a team of data engineers working on Snowflake and Databricks platforms.
Design and implement scalable data pipelines and lakehouse solutions aligned with business requirements and industry best practices.
Collaborate with clients and business stakeholders for requirement gathering, technical design, and solution delivery.
Provide technical guidance and support to resolve ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
JOB SUMMARYLooking for highly skilled and experienced Senior Data Architect. As a Senior Data Architect,you will play a critical role in designing, implementing, and managing data architecture,ensuring it supports both current needs and future aspirations in data and AI. This rolerequires a deep understanding of data architecture principles, data modelling ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. ...
7 Opening(s)
7.4 Year(s) To 13.0 Year(s)
20.00 LPA TO 27.00 LPA
Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. ...
1 Opening(s)
3.5 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
OverviewWe are seeking an experienced PHP Full Stack Developer to join our team for the development, maintenance, and optimization of our web-based systems and APIs. The ideal candidate will have strong expertise in PHP, MySQL, RESTful APIs, and frontend technologies, with experience in both backend processes (data ingestion, automation, cloud ...