Azure Data Engineer

2 days ago

remote, India Hatigen Consulting Services Full time

About Us Hatigen is one of the most renowned IT consulting organizations focuses on strategy, data, transformation, and technology. Believe, Hatigen turns out to be the most crucial part of your business journey. Our top talents, strategic minds, and diverse experiences provide cutting-edge solutions through which you can achieve your business goals. We are recognized as a 360° IT innovations firm, providing integrated IT consulting services, training on the most advanced technologies by the top industry experts, and IT staffing solutions. Thus, Hatigen aims to empower individuals and businesses with world-class domain knowledge and cutting-edge technologies and drive them towards success. What will your job look likeDesign, Develop, Test and maintain efficient, scalable data pipelines and ETL process.Translate customer requirements to develop effective, robust data solutions in line with customer Data Engineering standards Work with other Data Engineers and Architects in tuning and optimizing the data pipelines/ETL processes Effective stakeholder engagement at all stages of the Data Engineering project lifecycle, from pre-feasibility through to deliveryImplement processes to monitor performance and data quality RequirementsMust have experience in developing, building and deploying solutions based on Microsoft Azure SQLDW, TSQL, Databricks, Data Lake, Azure Data Factory, Blob Storage Spark/Spark SQL, Azure Logic Apps, Azure Log analytics.Demonstrable experience and understanding of end-to-end data delivery techniques including data modelling, ETL building, Quality Assurance and performance tuningExperience in designing and building cloud based ETL/ELT pipelines and data migrations and dealing with high volume systems Good understanding of monitoring and tuning data pipeline workloads, preferably in ADF/ Azure Synapse Experience in building pipelines and loading data into Azure SQL Data Warehouse / Azure Synapse or SQL Server BI Toolset (SRSS, SSIS, SSAS) An in-depth understanding of data management (e.g., permissions, recovery, security and monitoring) and capable of choosing the right data stores/data processing for the job (relational and non-relational stores, batch, and Real Time processing)Experience in dealing with different data schemas (including Microsoft SQL Server i.e., MSSQL, NoSQL, API Based) is requiredExperience of working with MI / BI Analysts / Visualisers to understand their requirementsExperience in agile delivery methodologies, CI/CD practices Any knowledge of the following is desirable: Teradata, Azure pipelines, Azure DevOps and Linux. 

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