For the given job description <<Who We Are
Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and WeBull, and more than 20 million of our clients' customers.
Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. We are based in Dallas, TX and also have offices in Austin, New York, Chicago, Portland, and Belfast.
If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you.
AFS has received a number of prestigious industry awards, including:
2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards2021 Most Innovative Companies - presented by Fast Company2021 Best API & Best Trading Technology - presented by Global Fintech Awards
About This Role
As a Principal Cloud Software Engineer at Apex Silver, you are responsible for design and development of software code. You will help lead other developers in the design and development of financial services applications that integrate with cloud-based services. You are a results oriented leader who can lead a team to exceed client expectations. You perform hands-on work required to meet service level requirements. You will lead by example.
Key Responsibilities
Coordinate with your cross functional product development team and members of the software development teamOversee and provide guidance to other development team membersDesign and develop highly performant large scale financial services applicationsImplement robust CICD processesAdhere to Silvers coding standardsKeep up-to-date with industry trends and technology developments
Skills & Requirements
Requires a bachelor's degree (or equivalent experience) and at least 10 years of experienceExtensive knowledge of software development processesExtensive knowledge of bash shell scriptingExtensive knowledge of implementing serverless solutions using AWS lambda, SQS, EventBridgeExtensive knowledge of Cloud Databases: AWS RDSAurora, DynamoDBExtensive knowledge of Infrastructure-as-Code deployment tools like CloudFormation templates, TerraformExtensive knowledge of AWS Cloud Technologies (EC2, RDS, Amazon MQ, S3, API Gateway, etc.)Extensive knowledge of bash shell scriptingExtensive knowledge of CICD processes and tools like like BitBucket and PipelinesKnowledge of Java and SQLSolid experience in coding object oriented softwareKnowledge of javascript and front-end web frameworksPossess strong knowledge of fintech, investment services clearingcustody, best practices, and proceduresExcellent communication, organizational, analytical and team building skillsLead and direct the work of others Demonstrates strong problem solving skills, process driven mindset, resourcefulness, and the ability to meet responsibilities with minimal direct oversight
#engineering #mid-senior #full-time
OUR REWARDS
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.
AFS is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, natural or protective hairstyle, genetics, disability, age, or any other basis forbidden under federal, state, or local law.
>> 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