Posted:3 days ago|
Platform:
On-site
Full Time
Hands on experience with Azure, pyspark, and Python
Good years in Data Engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc) building ETL/ELT Pipelines
using Azure Stack (Azure Data Factory, Azure Data Bricks, Azure Synapse Analytics)
Strong in Tools and scripting languages - Azure Datafactory, Data Bricks, Pyspark, Python etc
Strong technical understanding of modern data architecture. Good in Data modelling
And data integration methods
Demonstrated experience with Analytics implementations and/or data and reporting projects
Working with team and running product build and delivering as per plan
Experience in some of the databases among SQL Server and languages like PL-SQL, T-SQL
Prior experience with SDLC and Agile working methodologies/environment is preferred
Excellent communication and client facing skills
Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness.
Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements
Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems
Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security
Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way
Coordinate with release management, other supporting teams to deploy changes in production environment
Minimum Qualifications
Experience in designing, implementing data pipelines, build data applications, data migration on Azure
Experience of Databricks will be added advantage
Strong experience in Python and SQL
Strong understanding of security principles and best practices for cloud-based environments.
Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Preferred Qualifications/ Skills
Master's Degree-Computer Science, Electronics, Electrical.
Azure Data Engineering & Cloud certifications, Databricks certifications
Experience of working with Oracle ERP
Experience with multiple data integration technologies and cloud platforms
Knowledge of Change & Incident Management process
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