For the given job description <<Rightware is the company behind the Kanzi family of software tools and services used by automakers for design and development of advanced digital user interfaces. Our mission is to help automakers increase brand value with highly customized signature user interfaces. Kanzi is the market-leading UI tool trusted by over 50 automotive brands across the globe.Rightware is headquartered in Finland and has a presence in the US (Detroit), UK, Germany, Italy, China, South Korea, and Japan.
We are now looking for an Experienced Software Engineer. You would be joining our R&D team of almost 60 professionals developing the core products on which our value is built: Kanzi Studio and Kanzi Runtime.  You will improve, maintain, and optimize the Kanzi rendering engine, while creating new features and functionalities as well as solving problems to ensure we continue to stay ahead of the pack with high-quality graphics and UI framework. While working in R&D mostly with internal colleagues and stakeholders, sometimes work might also involve supporting customers directly with their problems and requests. Who Are You?You are a software engineer with the passion to create clean working code that gets the job doneYou have solid experience in C++You are good at understanding others codeYou believe in teamworkYou are willing to take responsibilities of the features and follow them up until completionYou like thinking outside the boxYou can be either a seasoned expert or a young rising star.
We requireC++ programming skillsGraphics programming experience (OpenGL, Vulkan, etc.)Ability to pick up new technologies and codebases efficientlyExcellent communication skills in EnglishExcellent teamwork skills
We appreciate Experience in using modern game engines (Unity, Unreal)Experience in developing UI frameworksExperience using UI toolkits in application developmentC# experienceEmbedded experience
What We OfferRightware might be your new home, if you are passionate about transforming design into software, solving complex challenges and helping enable fantastic user experiences. With us you get to work with some of the most esteemed automotive brands in the world. Your colleagues will be a highly professional mix of people from creative designers to engineers, all passionate about their jobs.  If this sounds like you, apply today!>> the resume: <<SummaryStrong IT experience in AWS cloud computing, Bigdata & Data warehousing.Strong Business Domain Knowledge in Sales Segmentation & Territory Planning.Strong Coding & SQL experience in Python and RedshiftHaving an experience in Agile and deliver the results based on stories and task assigned on the sprint.Implementation Knowledge in Server-less Architecture using AWS Cloud Computing.Having Good Hands on experience in GIT as well as CI/CD pipeline Integration.Having Good Hands on Experience in building Data Model based on requirements.
SkillsProgramming Languages: Java, Python, Unix, Unix Shell ScriptingCloud Technologies: Amazon Web Services (AWS)Version Control: AWS CodeCommit, GIT, GitHub RepositoriesContinuous Integration/Continuous Delivery(CI/CD): AWS CodeDeploy AWS CodePipelineDatabases and SQL: Redshift, Oracle, Netezza, NoSQL (DDB & Elasticsearch)Big Data Technologies: Hadoop, Hive, Ozzie, AirFlow, Spark, PySpark, Scoop, Flume
Experience01/2018toCurrentSenior Data EngineerSplunk|Bloomington,MN,Collaborated with product owners to gather requirement to help build a solution for Sales Segmentation.Identified key use cases and associated reference architectures for market segments and industry verticals.Worked as part of project teams to coordinate database and pipeline development and determine project scopes and limitations.Collaborated with solution architects to define database and analytics engagement strategies for operational territories and key accounts.Developed and managed enterprise-wide big data environments.Specified user access levels for each database segment to protect database integrity and company information.Developed and implemented security initiatives to protect important company data.Established hardware requirements and devised storage capacity solutions and choose wisely on the AWS services by outweigh the requirement and business use-case.12/2015to12/2017Big Data EngineerNike Inc|Gurnee,IL,Perform as a Big Data Developer and work in various phases like Data Ingestion, Data Integration and Transformation.Create a Sqoop import command and pull the data (both tables and all tables in DB's) from MySQL DB to HDFS as part of Data IngestionCreates a MapReduce Programs as well as Spark programs to parse, analyze and implement the solutions based on its customer need.Perform operations to filter the records from DB, boundary query, incremental update or insert in the Sqoop import commands.Perform operations to insert the data directly to Hive tables, Change the delimiters and end line character and Change the formats like textFile, AvroDataFile, ORC file into HDFS systems using Sqoop Import commands.Perform Sqoop Eval function to evaluate the data in MYSQL.Perform Sqoop Export function to export the data from HDFS and loaded it into MYSQL and understand the delimiter of the file, define the no of mapper to perform, etc.Create a Flume config file to ingest the data from various source systems like (Spool Directory, NetCat, Exec, Sequence, etc.) and loaded it into Avro, HDFS etc.Define a proper channels(Memory, File ,etc.) and loaded all the data comes from Source to Sinks.Used the interceptor to modify the data comes from Source like Filtering (Regex), Include the Timestamp, Search and Replace, etc.Create a MapReduce Program using Eclipse IDE and execute it through jar file.Create a Mapper Class and using Map method generate the key value pair as (node_with_date, system utilization) by writing in Context application.Create a Reducer Class and using reduce method, generate the final output of system utilization per node_with_date.Implements custom based writable class to get the two values in the mapOutputValue class.Implements custom based partitioner class to assign a appropriate data to the right reducer(Basically try to achieve multi-level group by function with MR limitations).Implements Pattern Matching Logic for semi-structured Data and routed the good and bad records separately.Create a custom based input format as well as record reader to parse the XML file.Hands-on in creating the Broadcast Variables.Hands-on in SparkSQL, DataFrame creation, DF via class object in Scala, Convert DF to RDD, TempTable Schema creation and So on.09/2009to04/2015ETL DeveloperAllegis Group|Jacksonville,FL,Created and implemented complex business intelligence solutions.Created conceptual, logical and physical data models for use in different business areas.Developed and managed enterprise-wide data analytics environments.Identified, protected and leveraged existing data.Monitored multiple databases to keep track of all company inventory.Assisted maintenance team with completion of preventive maintenance and unscheduled service needs.Monitored installations to ensure compliance with local codes and industry best practices.
Education and TrainingExpected intotoMaster of Science|Information TechnologyAmity University,Noida, India,GPA:Expected in05/2008totoBachelor of Engineering|College of Engineering Guindy, Anna University,Chennai, India,GPA:>>. The result is, No Fit

Fit assessment: No Fit