6 Job openings found

1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 12.00 LPA
We are looking for smart and passionate ETL Developer, who will design and fill a bespoke data warehousing environment for our company Key Responsibilities • Overall responsible on the Implementation of the Tasks allocated during the sprint• Ensure the software is developed confirming the project architecture, coding standards and NFRs• To analyse ...
50 Opening(s)
3.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 25.00 LPA
Experience – 3+ Shift - 2-10 pm Package - based on the exp and Current CTC If Required Need to Visit the client Office . Requirement 1: GCP Data Enginer (With ETL  Experience : 4+ Years  Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc •            3-5 years Experience in Data ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 12.00 LPA
Responsibilities and day-to-day life: You will be working on the core data pipeline that moves data from all our customers to our warehouses via APIs. The responsibility will include extracting data via APIs from multiple cloud platforms, integrating it, and mapping it on our platform. To perform the data extraction, the employee ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
20.00 LPA TO 27.00 LPA
About the Job Step into the role of Power BI Developer at the company and harness the power of data to shape strategic decision-making across the organization. In this dynamic position, you will develop, implement, and optimize impactful Power BI solutions, while also diving into the exciting realm of the Microsoft ...
1 Opening(s)
3.0 Year(s) To 9.0 Year(s)
10.00 LPA TO 12.00 LPA
Job Description: Develop and implement new software programs Maintain and improve the performance of existing software Clearly and regularly communicate with management and technical support colleagues Design and update software database Test and maintain software products to ensure strong functionality and optimization Recommend improvements to existing software programs as necessary General backend python sql version control (git, github) experience with *nix ...
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. 

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