Job Description
• Must have 3-4 years of experience in data-specific roles.
•Technical expertise with data models, data mining, and segmentation techniques
•Knowledge of programming languages (e.g. Java and Python)
•Hands-on experience with SQL database design
•Great numerical and analytical skills
•Analyze and organize raw data
•Build data systems and pipelines
•Evaluate business needs and objectives
•Interpret trends and patterns
•Conduct complex data analysis and report on results
•Perform analysis for migrating manual reports to digital reports and its relevant source to target mapping
•Prepare data for prescriptive and predictive modeling
•Build algorithms and prototypes
•Combine raw information from different sources
•Explore ways to enhance data quality and reliability, Determines data storage needs.
•Uses different data warehousing concepts to build a data warehouse for internal departments of the organization.
•Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.
•Leads the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts.
•Designs develop and automates date extraction using any of the extraction methodologies that make use of RPA (Power Automate, Selenium, UiPath)
•Support complex applications to transform and load data, Ensures data quality.
•Develops logical and physical data flow models for ETL applications.
•Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
•PL/SQL Server development experience
•NoSQL databases experience
•Dimensional modeling experience
•Experience especially on ( Azure DataBricks, ADF, ADLS, BLOB, Private endpoint connections)
•Experience in building backend datalakes and Azure Synapse, Azure Presto
•OLAP, SSAS and MDX experience
•ETL tools experience, such as SSIS
•Modeling tools experience, such as Toad Data Modeller, Erwin, and Embarcadero
• Good to have experience on Intellignet Automation tools like UIPath, Abbyy, HDFS, Spark, Hbase, Hive, Sqoop
• Notice period: 15 days
▶️ Azure Data Engineer with Python–PD
🖊️ Mobile Programming
📍 India
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