Data Designing, Architecture & Pipelining & Data Engineering.
Data Engineering tools like IICS,Informatic,Talend,R Studio, Trifacta
Web apps knowledge with Rest API integration.
Database solutions with MS SQL Server, PostgreSQL, MongoDB
Manage a delivery team to ensure timely and accurate customer deliveries Work with business users and other stakeholders to understand business processes. Identify and implement data transformation/cleansing requirements.
Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse.
Design, develop and maintain ETL workflows and mappings using the appropriate data load technique Provide research, high-level design and estimates for data transformation and data integration from source applications to end-user BI solutions.
Strong in SQL is must have. Knowledge of Data ingestion and Engineering Platforms is must have.Good understanding and experience on Data Warehousing or Data Integration projects is must have. Good knowledge of at least one ETL tool and experience of Expert with data warehousing standards, strategies and tools.
Good knowledge of UNIX/LINUX shell scripting. Python is must have.
Demonstrated experience of leading/mentoring a team.
No. of Open Positions : 1
Skills Required : AWS, GCP, Big Data, ETL, Data Warehouse, API, Linux, Unix, SQL
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