Pune, Maharashtra, India
Information Technology
Full-Time
IOWeb3 Technologies
Overview
Key Responsibilities
- Azure Synapse Development: Design, develop, and optimize data solutions within Azure Synapse Analytics, leveraging its capabilities for data warehousing, data lakes, and big data processing.
- Data Pipeline Development (ADF): Build, manage, and monitor scalable and efficient data pipelines using Azure Data Factory (ADF) for data ingestion, transformation, and orchestration.
- Data Warehousing & Modelling: Apply expertise in data warehousing principles and various data modelling techniques to design and implement robust data structures.
- Snowflake & Stored Procedures: Work extensively with Snowflake, including data loading, transformation, and optimizing queries. Develop and maintain complex Stored Procedures in various database environments.
- ETL/ELT Processes: Implement and enhance ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to move data efficiently between disparate systems.
- Data Quality & Monitoring: Implement and ensure adherence to data quality frameworks. Utilize data monitoring tools to ensure data integrity and reliability.
- Job Scheduling: Configure and manage job scheduling for automated data workflows and pipeline execution.
- Data Format Handling: Work proficiently with various data formats including JSON, XML, CSV, and Parquet.
- Agile Collaboration: Participate actively in an Agile development environment, using tools like JIRA for task management and collaboration.
- Communication: Clearly communicate technical concepts and solutions to team members and stakeholders, maintaining formal and professional Skills :
- Azure Synapse: Good experience in Azure Synapse Analytics.
- Azure Data Factory (ADF): Good experience in Azure Data Factory.
- Snowflake: Good experience with Snowflake.
- Stored Procedures: Strong experience with Stored Procedures.
- Data Engineering Fundamentals: Experience with ETL/ELT processes, data warehousing, and data modelling.
- Data Quality & Operations: Experience with data quality frameworks, monitoring tools, and job scheduling.
- Data Formats: Knowledge of data formats like JSON, XML, CSV, and Parquet.
- Agile: Experience with Agile methodology and tools like JIRA.
- Language: Fluent in English (Strong written, verbal, and presentation skills).
- Communication: Good communication and formal skills.
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Email
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