For the given job description <<Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Cambridge, MA, USA.Minimum qualifications:

Bachelors degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with full stack development, across back-end such as Java, Python, GO, andor C++ codebases, and front-end experience including JavaScript andor TypeScript, HTML, CSS or equivalent. 

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large scale systems data analysis, visualization tools, andor debugging. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. 

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates organizations ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology  all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $133,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on productprogram updates and user feedback. Triage product or system issues and debugtrackresolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .>> 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.
EducationExpected in05/2013totoBachelor of Science|Information TechnologyGMR Institute of Technology,Rajam, India,GPA:
Experience05/2020toCurrentSr. Data Analyst/Support EngineerHoneywell|Gladstone,MO,Client: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.08/2018to05/2020Sr. BI Data DeveloperButler Technical Group|Opa Locka,FL,Led 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.11/2016to07/2018Sr. ETL DeveloperKairos Technologies Inc|City,STATE,Client: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.07/2013to04/2016Business Data AnalystTata Consultancy Services|City,STATE,Client: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, No Fit

Fit assessment: No Fit