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 ...
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 ...
6 Opening(s)
3.5 Year(s) To 7.4 Year(s)
12.00 LPA TO 20.00 LPA
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. ...
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 ...
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 ...
1 Opening(s)
10.0 Year(s) To 20.0 Year(s)
12.00 LPA TO 25.00 LPA
Hands on experience in Hadoop, HDFS & HIVE development and implementation
Hands on Experience in Spark Programming
Good knowledge on Kafka
Good knowledge of database structures, theories, principles, and practices.
Hands on experience in HBase/Cassandra
Good to have experience on SCALA, Python
Translate complex functional and technical requirements into detailed ...
1 Opening(s)
10.0 Year(s) To 18.0 Year(s)
20.00 LPA TO 40.00 LPA
· Hands on experience in Hadoop, HDFS & HIVE development and implementation
· Hands on Experience in Spark Programming
· Good knowledge on Kafka
· Good knowledge of database structures, theories, principles, and practices.
· Hands on experience in HBase/Cassandra
· Good to have experience on SCALA, Python
· Translate complex functional and technical requirements into ...
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.
Responsible for implementing, automating, deploying, monitoring, troubleshooting and administering our application's infrastructure & designing Databases.
The candidate will take responsibility for the availability, performance, infrastructure security and scalability of our applications.
Ability to translate business requirements into ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 18.00 LPA
Job Description
Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
Proven experience as a Data Engineer, Software Developer, ETL Developer or similar.
Proficient in Python, R, and SQL
Experience in Enterprise Data Warehousing, Data Store on Azure, Data Architecture for Enterprise cloud
Experience with SAP HANA Data Warehouse and SAP Analytics Cloud advantageous
Experience in Azure Data Factory (ADF), Data bricks and Spark creating multiple pipelines and activities
Using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW Should have experience working with Azure Data Factory V2.
Experience managing Azure Data Lakes and Data Lake Analytics and an understanding of how to integrate with other Azure Services
Experience with Azure SQL DW and other Azure Services pricing models.Understanding of when to use Azure SQL DW vs Azure SQL Server/DB and loading patterns to move data from blob or Azure Data Lake into Azure SQL DW
Understanding of the Overall solution design of how Power BI and Azure Analysis Services fits into Azure Architecture
Experience in Design EDW Data Models and make optimization/improvement recommendations
Experience in Power BI, Tableau, SAP Analytics Cloud
Excellent analytical and problem-solving skills.
Capacity to manage a pipeline of duties with minimal supervision. (Multi-tasker)
Complex problem-solving abilities and advanced leadership/communication skills.
Experience developing and maintaining standards, guidance and technical documentation
Excellent written and verbal communication abilities.
Excellent Strategic thinking capability.
Problem-solving skills — Identifying data problems and create programs/code to solve these problems.
Research skills — This job often includes combing through data and finding information, that means research mindset (Essential)
Takes full ownership and accountability on work tasks.