Associate Tech Specialist

Single Salesforce Integration Phase 3 Bachelor s degree in Computer Science, Computer Engineering, or related technical discipline. 8+ years of IT experience and must have worked in DW project for at least 3 years Worked in atleast 3 Data Warehousing projects by contributing in developing ETL solution. Advance SQL : Should be very strong understanding of Database & Data Modelling. Must posses hands on experience in writing complex SQLs Azure Data Factory (ADF): A key service for data integration and orchestration. Should know how to create data pipelines, schedule activities, and manage data movement and transformation using ADF Azure Databricks: A cloud based big data analytics platform based on Apache Spark. Should be adept at using Databricks for data engineering tasks like data ingestion, transformation, and analysis Azure SQL Database: Microsofts fully managed relational database service. Should be proficient in using it for data storage, retrieval, and basic manipulation. Azure DevOps: Knowledge of Azure DevOps is valuable for implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines for data engineering solutions Monitoring and Optimization: Understanding how to monitor the performance of data engineering solutions and optimize them for better efficiency is crucial Data Quality and Data Cleaning: Knowing how to ensure data quality and perform data cleaning operations to maintain reliable data is important for data engineers. Data Modeling and ETL/ELT: You should be skilled in data modeling techniques and Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes for data integration. Good to have Apache Spark: Understanding of Spark and its various components. Spark is a fast and general purpose data processing engine that can run in memory, making it well suited for iterative algorithms and interactive data analysis.