3 Opening(s)
3.4 Year(s) To 5.4 Year(s)
15.00 LPA TO 20.00 LPA
Role : Application Developer Role Description : Design, build and configure applications to meet business process and application requirements. ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
30.00 LPA TO 35.00 LPA
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 ...
4 Opening(s)
3.0 Year(s) To 10.0 Year(s)
1.00 LPA TO 43.00 LPA
Please find the details below
Position : Data Engineer
Location : Dubai
Experience requirement : 3+ Years
Joining Date : Immediate to 30 days
Job Description
. JOB PURPOSE:
To be responsible for data modelling, design, and development of the batch and real-time extraction, load, transform (ELT) processes, and the setup of the data integration framework, ensuring best practices are followed ...
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 ...
2 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
The Senior BI Developer (Microsoft Stack) is responsible for designing, building, and managing end-to-end Business Intelligence solutions using Microsoft technologies. The role involves developing robust data models, implementing ETL/ELT pipelines, building interactive reports, and optimizing the organization’s data ecosystem to deliver actionable insights.Key Responsibilities:1. Solution Design and Development:• Design, develop, ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Senior Data Engineer
We are looking for a talented and experienced Senior Data Engineer to join our growing team and play a key role in building and maintaining our data infrastructure.
Responsibilities:
Design, develop, and deploy high-performance, scalable data pipelines using Azure Datalake, Databricks, Data Factory, and DBT (minimum 3 years of experience required).
Own the end-to-end data engineering life cycle, from ...
2 Opening(s)
6.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Job description:
"Data engineering development & testing with experience in Py-Spark and SQL”.
Experienced big data developer with hands on Py-Spark & Hadoop/HDFS development skills. Ideal candidate would be a big data engineer passionate about data, data modelling, data enrichment for deriving deep insights accessible via Visualization dashboards or third party tools.
Must ...
1 Opening(s)
3.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 30.00 LPA
Position : Senior Data Engineer
Location : Remote
Experience : 4 to 8 years
Notice Period : Immediate to 15 days
Required Skills - AWS Data services, Redshift, Lambda, Glue, S3, Athena, Kinesis, ETL, SQL, No SQL, Python/scala/java, Agile, CICD.
Job Description:
The Senior Data Engineer is responsible for data processing in the company Data Cloud . The candidate will ...
5 Opening(s)
5.5 Year(s) To 7.4 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. Must have Skills : Microsoft Azure Data Services Good to Have Skills : No Technology Specialization Job Requirements : Key Responsibilities : ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Principal Accountabilities and Responsibilities The candidate is expected to perform basic data ETL (Extract-Transform-Load) tasks – starting with extraction of datafrom the source systems, cleaning it, handling exceptions and finally prepare them to feed into various systems/toolsdepending on the projects/PODs/delivery channels. Testing and validation of data models/data tables/data assets The ...