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.
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
Roles and Responsibilities :
Work directly with developers and product manager to conceptualize, build, test, and realize products.
• Deliver across the entire app life cycle build, deploy, test, release to app stores, and support.
• Responsible for code and data architecture, and timely delivery of releases.
• Experience in building Android and iOS ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 25.00 LPA
Experience required:
Skill set: Google Cloud Platform, Big Query, Java, Python Programming Language, Airflow, Data flow, Apache Beam.
5 years of experience in software design and development with 4 years of experience in the data engineering field is preferred.
2 years of Hands-on experience in GCP cloud data implementation suites such as Big ...