6+ SSIS Jobs in Chennai | SSIS Job openings in Chennai

About UPS:

Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPS’s India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics.

Job Summary:

• Applies the principles of software engineering to design, develop, maintain, test, and evaluate computer software that provide business capabilities, solutions, and/or product suites. Provides systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery of technical solutions is on time and within budget.
• Researches and supports the integration of emerging technologies.
• Provides knowledge and support for applications’ development, integration, and maintenance.
• Develops program logic for new applications or analyzes and modifies logic in existing applications.
• Analyzes requirements, tests, and integrates application components.
• Ensures that system improvements are successfully implemented. May focus on web/internet applications specifically, using a variety of languages and platforms.
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REQUIREMENTS

• Experience with Azure Data bricks, SQL, ETL – SSIS Packages – Very Critical.
• Azure Data Factory, Function Apps, DevOps – A must
• Experience with Azure and other cloud technologies
• Database – Oracle, SQL Server and COSMOS experience needed.
• Azure Services (key vault, app config, Blob storage, Redis cache, service bus, event grid, ADLS, App insight etc.)
• Knowledge of STRIIMs

Preffered skills: Microservices experience, preferred. Experience with Angular, .NET core– Not critical

Additional Information **This role will be in-office 3 days a week in Chennai, India **

4 - 8 overall experience.

• 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
• 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
• (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
• Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
• Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
• Knowledge on deploying and run SSIS packages in Azure.
• Knowledge of Azure Data Bricks.
• Ability to write and execute complex SQL queries and stored procedures.

• Proficient with SQL Server/T-SQL programming in creation and optimization of complex Stored Procedures, UDF, CTE and Triggers
• Overall Experience should be between 4 to 7 years
• Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts. Experience in SQL server, DW principles and SSIS.
• Should have strong experience in building data transformations with SSIS including importing data from files, and moving data from source to destination.
• Creating new SSIS packages or modifying existing SSIS packages using SQL server
• Debug and fine-tune SSIS processes to ensure accurate and efficient movement of data. Experience with ETL testing & data validation.
• 1+ years of experience with Azure services like Azure Data Factory, Data flow, Azure blob Storage, etc.
• 1+ years of experience with developing Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
• Must be able to build Business Intelligence solutions in a collaborative, agile development environment.
• Reporting experience with Power BI or SSRS is a plus.
• Experience working on an Agile/Scrum team preferred.
• Proven strong problem-solving skills, troubleshooting, and root cause analysis.
• Excellent written and verbal communication skills.

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server