For the given job description <<Publicis Sapient  Public Sector is looking for a Senior Associate, Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.Great Place to Work Certified in the US: https:www.greatplacetowork.comcertified-company1000228
Primary Skill: Data Warehouse and ETL
Qualifications:Must-Haves:***Application open to ONLY U.S. Citizens and Permanent Residents******Must be eligible to obtain U.S. Government Clearance (Public Trust)***6+yrs of demonstrable exp in data platforms involving the implementation of end-to-end data pipelinesHands-on exp with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud)Exp in implementing data pipelines for both streaming and batch integrations using tools; Google Cloud Dataflow, Azure Data Factory, ksqlDBExp working with code repositories and continuous integrationExp in data modeling, warehouse design, and factdimension implementationsStrong SQL knowledge to develop efficient and complex queriesExp working with Microsoft SQL ServerExp in data processing, transformation, and manipulation using Python (1+ yr exp)Exp developing, maintaining, and troubleshooting complex ETL processes using Microsoft SSISData ingest, validation, and enrichment pipeline design and implementationBachelor's degree in Computer Science, Engineering, or a related field
Nice to have:Exp in SnowflakesExp in Tableau Power BI, familiarity with ArcGIS would be an assetCertifications for any of the cloud services like AWS, Google Cloud, AzureLogical programming in Spark PySpark  Scala
Benefits of Working Here:Flexible vacation policyUnlimited PTO's15 company paid holidays annuallyWork Your World programGenerous parental leave and new parent transition programTuition reimbursementCorporate gift matching program>> the resume: <<Summary7+ years of experience as a BI developer with a proven track record in Business Intelligence (BI), Data Warehouse (DWH) and Data Analytics related consulting projects.Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency.Experienced in developing, implementing, documenting, monitoring and maintaining the data warehouse extracts, transformations and ETL process in various industries like Financial, Health Care and Retail Industry withSales, Marketing, Inventory Management, Supply Chain and Financedomains.Delivered BI reporting solutions in Power BI, Reporting Services (SSRS).Expertise inData Warehousing ArchitecturesincludingETLdesign,Staging,Transformations,Delta/change Datacapture,Star-Schemas, Cubes andHistoryloadingSkilled in writingT-SQL Queries, Dynamic-queries, sub-queries and joins for generatingStored Procedures, Triggers, User-defined Functions, Views and Cursors.Experience with all phases of software development life cycle (SDLC) and Agile methodologies.Have delivered as a team member, team lead and as an independent consultant on medium to large scale projects.
SkillsData/Business/SystemsTools: MS SQL Server Integration(SSIS), Analysis Services(SSAS), MetlDatabases: SQL Server 2012/2016,Netezza 7.2, Oracle 11g, AzureDevelopment Skills: T-SQL, DAX, MDX, C#BI Reporting Tools: Power BI, Reporting Services Services (SSRS).Data Quality and StandardsAgile MethodologyProgramming Languages:T-SQL, C#, VB Scripting.
EducationGMR Institute of TechnologyRajam, India,Expected in05/2013––Bachelor of Science:Information Technology-GPA:
ExperienceHoneywell-Sr. Data Analyst/Support EngineerGladstone,MO,05/2020-CurrentClient:Citi Bank, Irving, TxWorking as Level2 Support Engineer for Data Pipelines the Retail Customer Applications and Azure Data Staging.Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.Developing and supporting DevOps Repos and code pipelines for all ETLs Tasks and JobsDevelopedStandardETLintegrationsto extract Community-Loan-Location data from Mainframes system and implemented Business Rules to confirm the data.Experience in creating and managing SSAS tabular models, creating dimension and fact tables.Responsible for data administration tasksmaintenance plans,performance tuning,backup, and securityfor MS SQL Server systems.Primarily involved in data migration using SQL, SQL Azure, Azure storage, and azure data factory, SSIS, Powershell.Integrated Custom Visuals based on business requirements using Power BI desktop.Developed complex SQL queries using stored procedures, common table expressions (CTEs), temporary table to support Power BI and SSRS reports.Developed complex calculated measures using Data Analysis Expression language (DAX).Embedded Power BI reports on the Salesforce portal page and also managed access of reports and data for individual users using Roles.Provided continued maintenance and development of bug fixes for the existing and new Power BI Reports.Butler Technical Group-Sr. BI Data DeveloperOpa Locka,FL,08/2018-05/2020Led the development of Data Mart for supply chain,marketing departments along with analysis of existing data warehouse for performance improvements.Worked on all phases of data warehouse development life cycle, from gathering requirements, implementation, testing, training and support.Interviewed Business Users of the Data Warehouse and the Business Analysts to understand and troubleshoot the existing bottlenecks and problem areas.Developed applications and designed processes for transformation and data management from company-wide databases.Developed automated data dictionary for Enterprise Data Warehouse using SSRS and SQL.Completed a thorough analysis of the issues with the cube processing and query processing to identify bottleneck for the existing facts and dimensions.Designed and developed ETL packages to facilitate incremental load process.Created aggregates, partitions, attribute relationships and user defined hierarchies with the goal to reduce the cube processing time and query processing time.Created stored procedures and performed index analysis for slow performing SSRS reports to bring down the report rendering time.Developed Enterprise wide cascading reports in SSRS that were used throughout the agency to monitor the performance of the cube, logging of the nightly ETL loads and also to monitor most active users of the cube.Created robust and high-performing ETL mappings usingSSISandMetl.Migrated existing self-service reports and adhoc reports to Power BI.Developed custom calculated measures using DAX in Power BI to satisfy business needs.Assisted users in accessing databases, troubleshooting malfunctions and removing system-based barriers to task completion.Kairos Technologies Inc-Sr. ETL DeveloperCity,STATE,11/2016-07/2018Client:Cvs Caremark, Irving, TxWorked on ambitious project to develop an Enterprise Wide Drug plan Record system data warehouse connecting Insurance companies and Drug Manufacturers for CVS Caremark.Worked with Business Intelligence Manager to plan BI strategies, create BI road map and budget plans to deliver on organizations Business Intelligence needs.Assessed the impact of current business processes on users and stakeholders.Developed multiple dashboards, analytical reports, KPIs and Interactive reports based on business requirements using SSRS to support executive business needs.Transferred data from various data sources/business systems including MS Excel, MS Access, Flat files,COSMOS etc. to SQL Server using SSIS.Implemented Query Optimization and performance tuning for slow performing SQL queries.Involved in writing complex T-SQL queries and stored procedures to perform data transformations and to support SSRS Reports.Involved in creating User Security and Roles in reporting services at both parent level and report level.Supported maintenance of Data Quality Service's (DQS) knowledge base and development of Master Data Service's database.Tata Consultancy Services-Business Data AnalystCity,STATE,07/2013-04/2016Client:Sun Trust Bank, USDesigned, Implemented, and aided End-to-End data migration project using Microsoft SSIS.Assisted in creation of internal applications for marketing and customer relations departments, including financial reporting tools and reports.Designed SSIS Packages to extract data from various data sources such as Excel spreadsheet, and flat files and load data into destination databases for further Data Analysis and Reporting.Performed rigorous business case analyses and proposed various process improvements.Used Excel and Access applications for visualizing the data functionality.Led an initiative to convert all excel files which were used in in-house time/expense reporting wherein I automated the process to find discrepancies in timesheets by creating tables, views using stored procedures.Client :Marks and Spencer,UKImproved business direction by prioritizing customers and implementing changes based on collected feedback.Analyzed open orders, backlog, and sales data to provide sales team with insights.Created tables and define their relations by using foreign key and primary key relationship.Involved in creating database objects using stored procedures, Triggers, Functions, Views and T-SQL Joins using T-SQL.Performed normalization of database to reduce redundancy and achieve maximum system performance.Wrote custom T-SQL stored procedures and triggers to improve performance, preserve referential integrity, and provide additional application functionalityWorked as ETL Developer for an End-to-End implementation of Operation Data Warehousing Project.Responsible for data integration and transformation using SSIS.Formulated and documented the physical ETL process design based on business requirements and system specifications with strong ETL design skills.Created source to target mappings, transformations, lookups, aggregations, expressionsInvolved in scheduling reports, creating snapshot reports and subscription for the reports Using SSRS.>>. The result is, Potential Fit

Fit assessment: Potential Fit