1 Opening(s)
9.0 Year(s) To 15.0 Year(s)
0.00 LPA TO 32.00 LPA
Job Description – Data Modeler Architect
Requirements:• 5+ years of experience implementing large data and analytics platforms.• Data Platform: Experience working in Data warehouse, Data Lake, and Spark Lakehouse environments to supportlarge-scale analytic applications.• Data Modeling: Extensive experience in designing Star and Snowflake schema models. Proficient in logisticsindustry operations.• ETL: Understanding ...
4 Opening(s)
6.0 Year(s) To 16.0 Year(s)
25.00 LPA TO 40.00 LPA
Job Description:
We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Experience: 12 Years– 15 yearsLocation: Bangalore /HybridNotice Period: Immediate
Job Description:
Responsibilities
Develop and deliver detailed technology solutions through consulting project activities.
Evaluate and recommend emerging cloud data technologies and tools to drive innovation and competitive advantage, with a focus on Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Databricks.
Lead ...
5 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
SKILL TITLEAzure Data Bricks
KEY SKILLS ( MANDATORY)Azure Data Bricks (Mim realvent exp 5+ yrs)
JOB DESCRIPTION (DETAILED)Should have 10+ years of experience, minimum 8+ in Data engineering and Analytics with Microsoft cloud technologies.Expertise to Implementing Data warehousing Solutions. experience as Data Engineer in Azure Data Bricks with design and solutioning.Strong Programming experience ...
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, ...
1 Opening(s)
11.0 Year(s) To 16.0 Year(s)
Not Disclosed by Recruiter
Skills
Required Skills: Data Modelling, DW/BI, AWS Data Lake
Roles and responsibilities
Minimum overall experience of 12 years with minimum 4 years of experience as architect
-Own the design, development, and maintenance of the data models at all levels in the data warehouse environment
-logical, relational, and dimensional
-Work collaboratively with BI team ...
2 Opening(s)
4.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 25.00 LPA
Must to Have
• We are looking for good resource who has very good experience on Azure Data Lake, Azure Data Factory, Azure Data Bricks (Pyspark) and Azure Synapse
• Resource should have knowledge about source systems like Sales Force/ Oracle ERP/SAP Ariba etc and should have worked on the integrations with ...
6 Opening(s)
3.5 Year(s) To 7.4 Year(s)
3.40 LPA TO 7.40 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have Skills : Microsoft Azure Data Services Good to Have Skills : No Technology Specialization Job Requirements : Key Responsibilities : A Function as the Junior Data Architect ...
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. ...
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 ...