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5.0 - 9.0 years
0 Lacs
karnataka
On-site
You will be joining our dynamic team as an Azure Data Engineer - L3 with 5-7 years of experience, based in either Hyderabad or Bangalore, working the shift timings of 2PM-11PM IST. Your responsibilities will include: - Utilizing your expertise in Azure Data Factory, Databricks, Azure data lake, and Azure SQL Server. - Developing ETL/ELT processes using SSIS and/or Azure Data Factory. - Building complex pipelines and dataflows with Azure Data Factory. - Designing and implementing data pipelines using Azure Data Factory (ADF). - Enhancing the functionality and performance of existing data pipelines. - Fine-tuning processes dealing with very large data sets. - Configuring and Deploying ADF packages. - Proficient in the usage of ARM Template, Key Vault, Integration runtime. - Adaptable to working with ETL frameworks and standards. - Demonstrating strong analytical and troubleshooting skills to identify root causes and find solutions. - Proposing innovative and feasible solutions for business requirements. - Knowledge of Azure technologies/services such as Blob storage, ADLS, Logic Apps, Azure SQL, and Web Jobs. - Expertise in ServiceNow, Incidents, JIRA. - Exposure to agile methodology. - Proficiency in understanding and building PowerBI reports using the latest methodologies. Your key skills should include: - Azure - Azure Data Factory - Data bricks - Migration project experience Qualifications: - Engineer graduate Certifications: - Preferable: Azure certification, Data bricks Join us and be a part of our exciting journey as we continue to provide end-to-end solutions in various industry verticals with a global presence and a track record of successful project deliveries for Fortune 500 companies.,
Posted 3 weeks ago
5.0 - 8.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
Job Description: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Key Responsibilities: 1 5 8 yrs exp in Azure Hands on experience in Azure Data bricks and Azure Data Factory Good knowledge in SQL PySpark Should have knowledge in Medallion architecture pattern Knowledge on Integration Runtime Knowledge on different ways of scheduling jobs via ADF Event Schedule etc Should have knowledge of AAS Cubes To create manage and optimize the Cube processing Good Communication Skills Experience in leading a team Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Big Data - Data Processing->Spark
Posted 1 month ago
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