Job description:
position summary:as a fox factory senior tax accountant, you will be supporting the tax department regarding direct and in-direct tax activities. this role will be involved in corporate tax strategy, tax provision preparation, and non-income tax activities. you will be responsible for accurate delivery of financial information, non-income tax reporting, tax research, tax planning and preparation of supporting workpapers on various ad-hoc projects. you will work alongside company executives, senior management, tax analyst and the tax manager as a member of the corporate tax team. additionally, you will have an opportunity to learn new skillsets, be involved in the fox community, and build lasting relationships with members of the fox factory team. position responsibilities:assist in preparation and review of quarterly and annual asc 740 calculation for global consolidated group.support the preparation and assist in the review of the tax section of sec filings, including reports on form 10-q and 8-k.lead transaction tax (salesuse, business & occupation, gross receipts, and property tax) return cycle for monthly, quarterly and annual filings, and facilitate filing of returns on a timely and accurate basis.sales and use tax compliance and property tax compliance, specifically supporting the preparation of data, filing returns, reviewing work prepared by tax analyst, external service provider, andor avalara software.lead centralization of sales and use and property tax filings to fox factory hq using avalara.respond to inquiriesnotices from the irs and other taxing authorities.work with external service providers while building rapport and strong relationships with external service team. manage and maintain relationships with business partners and auditors including investigating, concluding and responding to questions regarding tax matters.research and resolve issues that arise in the tax compliance, tax provision, and in-direct tax processes. specific knowledge, skills or abilities required:excellent analytical, communication (written and verbal) and interpersonal skills.demonstrated project management skillset including project planning and time management.experience of working with avalara sales and use tax reporting software.ability to work efficiently and effectively in a team environment.strong pc skills and familiarity with microsoft office software (word, access, excel, and powerpoint).willingness to take ownership and responsibility of work and continually look to improve upon those tasks.internally motivated to seek out answers, generate ideas, and develop new skills.reliable, detail-oriented, and interested in the tax career field. competencies:customer mindset: exceptional customer experience is primary focus while performing job duties. quality is a top priority.adaptability & innovation: proactively and willingly adapts to changing business needs and conditions and presents creative and fresh ideas on how to solve problems, gain efficiencies and improve quality.relationship building: builds constructive working relationships characterized by a high level of inclusion, cooperation and mutual respect. accountability: takes personal responsibility for the quality and timeliness of work and strives to exceed requirements.decision making and judgment: makes timely, informed decisions that take into account the facts, goals, constraints and risks.talent development (self and others): displays an ongoing commitment to learning and self-improvement; making an effort to acquire new knowledge or skills associated with job responsibilities. willingness to work with others and coachteach in effort to develop and support other employees development. position qualifications: education:bachelors degree in accounting or financecpa candidate preferred experience: 3-5 years of tax accounting experience in public accounting or corporate tax department work environment and physical requirements:office or productionmanufacturing environment depending on assignmentmay be required to lift 20 lbs. frequentlymay be required to walk, stand, sit, bend andor lift for long periods of time.may require vision abilities to validate and enter data on computer. disclaimer: this list does not represent all physical demands. descriptions are representative of those that must be met by employee to successfully perform the essential functions of the job. reasonable accommodation may be provided to enable individuals with disabilities to perform the jobs essential functions. fox provides equal employment opportunities for all employees and applicants for employment . we base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, layoffs, terminations and socialrecreational programs on merit and the principles of .

Resume:
<<summarydynamic and motivated it professional with around 7 years of experience as a big data engineer with expertise in designing data intensive applications using hadoop ecosystem , big data analytical , cloud data engineering , data warehouse / data mart, data visualization , reporting , and data quality solutions .in - depth knowledge of hadoop architecture and its components like yarn , hdfs, name node, data node, job tracker, application master, resource manager , task tracker and map reduce programming paradigm.extensive experience in hadoop led development of enterprise level solutions utilizing hadoop components such as apache spark, mapreduce, hdfs, sqoop, pig, hive, hbase, oozie, flume, nifi, kafka, zookeeper, and yarn.profound experience in performing data ingestion, data processing (transformations, enrichment, and aggregations). -depth understanding of mapreduce programming paradigm and spark execution framework.experience d with the spark improving the performance and optimization of the existing algorithms in hadoop using spark context , spark-sql , dataframe api , spark streaming, mllib , pair rdd 's and worked explicitly on pyspark and scala .handled ingestion of data from different data sources into hdfs using sqoop, flume and perform transformations using hive, map reduce and then loading data into hdfs.managed sqoop jobs with incremental load to populate hive external tables. experience in importing streaming data into hdfs using flume sources, and flume sinks and transforming the data using flume interceptors.experience in oozie and workflow scheduler to manage hadoop jobs by direct acyclic graph ( dag ) of actions with control flows.implemented the security requirements for hadoop and integrating with kerberos authentication infrastructure- kdc server setup, creating realm /domain, managing.experience of partitions, bucketing concepts in hive and designed both managed and external tables in hive to optimize performance .experience with different file formats like avro , parquet , orc , json and xml .expertise in creating, debugging, scheduling and monitoring jobs using airflow and oozie.experience d with using most common operators in airflow - python operator, bash operator, google cloud storage download operator, google cloud storage object sensor.hands-on experience in handling database issues and connections with sql and nosql databases such as mongodb , hbase , cassandra , sql server , and postgresql .created java apps to handle data in mongodb and hbase. used phoenix to create sql layer on hbase.experience in designing and creating rdbms tables, views, user created data types, indexes, stored procedures, cursors, triggers and transactions.expert in designing etl data flows using creating mappings/workflows to extract data from sql server and data migration and transformation from oracle/access/excel sheets using sql server ssis .expert in designing parallel jobs using various stages like join, merge, lookup, remove duplicates, filter, dataset, lookup file set, complex flat file, modify, aggregator, xml.hands-on experience with amazon ec2, amazon s3, amazon rds, vpc, iam, amazon elastic load balancing, auto scaling, cloudwatch, sns, ses, sqs, lambda, emr and other services of the aws family.created and configured new batch job in denodo scheduler with email notification capabilities and implemented cluster setting for multiple denodo node and created load balance for improving performance activity.instantiated, created, and maintained ci/cd (continuous integration & deployment) pipelines and apply automation to environments and applications.worked on various automation tools like git, terraform, ansible. experience d in fact dimensional modeling ( star schema, snowflake schema ), transactional modeling and scd (slowly changing dimension)experience d with json based restful web services, and xml/qml based soap web services and also worked on various applications using python integrated ides like sublime text and pycharm .efficient cloud engineer with years of experience assembling cloud infrastructure. utilizes strong managerial skills by negotiating with vendors and coordinating tasks with other it team members. implements best practices to create cloud functions, applications and databases. skills·big data technologies:hadoop, mapreduce, hdfs, sqoop, pig, hive, hbase, oozie, flume, nifi, kafka, zookeeper, yarn, apache spark, mahout, sparklib·databases:oracle, mysql, sql server, mongodb, cassandra, dynamodb, postgresql, teradata, cosmos.·programming:python, pyspark, scala, java, c++, shell script, perl script, sql·cloud technologies:aws, microsoft azure·frameworks:django rest framework, mvc, hortonworks·tools:pycharm, eclipse, visual studio, sql plus, sql developer, toad, sql navigator, query analyzer, sql server management studio, sql assistance, eclipse, postman·versioning tools:svn, git, github·operating systems:windows 7/8/xp/2008/2012, ubuntu linux, macos·network security:kerberos·database modelling: modeling, star schema modeling, snowflake modeling·monitoring tool:apache airflow·visualization/ reporting:tableau, ggplot2, matplotlib, ssrs and power bi·machine learning techniques:linear & logistic regression, classification and regression trees, random forest, associative rules, nlp and clustering. education and trainingpurdue universitywest lafayette,inexpected in 02/2022––post graduate:data engineering-gpa:university of texas at austinaustin,txexpected in 09/2021––post graduate:data science and business analytics-gpa: ,expected in 12/2009––bachelor of arts:business administration and management-gpa: experience deloitte- , 01/2022- 02/2022designed and setup enterprise data lake to provide support for various uses cases including analytics, processing, storing and reporting of voluminous, rapidly changing datadesigned and developed security framework to provide fine grained access to objects in aws s3 using aws lambda, dynamodbset up and worked on kerberos authentication principals to establish secure network communication on cluster and testing of hdfs, hive, pig and mapreduce to access cluster for new usersused aws emr to transform and move large amounts of data into and out of other aws data stores and databases, such as amazon simple storage service (amazon s3) and amazon dynamodbimport the data from different sources like hdfs/hbase into spark rdd and perform computations using pyspark to generate the output responsecreating lambda functions with boto3 to deregister unused amis in all application regions to reduce the cost for ec2 resourcesimporting & exporting database using sql server integrations services (ssis) and data transformation services (dts packages)coded teradata bteq scripts to load, transform data, fix defects like scd 2 date chaining, cleaning up duplicatesconducted data blending, data preparation using alteryx and sql for tableau consumption and publishing data sources to tableau serverimplemented aws step functions to automate and orchestrate the amazon sagemaker related tasks such as publishing data to s3, training ml model and deploying it for predictionintegrated apache airflow with aws to monitor multi-stage ml workflows with the tasks running on amazon sagemakerenvironment: aws emr, s3, rds, redshift, lambda, boto3, dynamodb, amazon sagemaker, apache spark, hbase, apache kafka, hive, sqoop, map reduce, snowflake, apache pig, python, ssrs, tableauassessed organization technology infrastructure and managed cloud migration process.bank of america corporation- , 01/2016- 11/2019worked on azure data factory to integrate data of both on-prem (my sql, cassandra) and cloud (blob storage, azure sql db) and applied transformations to load back to azure synapsemanaged, configured and scheduled resources across the cluster using azure kubernetes serviceinvolved in developing data ingestion pipelines on azure hdinsight spark cluster using azure data factory and spark sqldevelop dashboards and visualizations to help business users analyze data as well as providing data insight to upper management with a focus on microsoft products like sql server reporting services (ssrs) and power biperformed the migration of large data sets to databricks (spark), create and administer cluster, load data, configure data pipelines, loading data from adls gen2 to databricks using adf pipelinescreated various pipelines to load the data from azure data lake into staging sqldb and followed by to azure sql dbworked extensively on azure data factory including data transformations, integration runtimes, azure key vaults, triggers and migrating data factory pipelines to higher environments using arm templatesingested data in mini-batches and performs rdd transformations on those mini-batches of data by using spark streaming to perform streaming analytics in data bricksenvironment: azure sql dw, databrick, azure synapse, cosmos db, adf, ssrs, power bi, azure data lake, arm, azure hdinsight, blob storage, apache spark.cumming llc-big data engineer / , 10/2013- 12/2015ansibledenododenodocloudwatchavropysparkpysparkpysparkmllibdataframenifinifiinteracted with business partners, business analysts and product owner to understand requirements and build scalable distributed data solutions using hadoop ecosystemdeveloped spark streaming programs to process near real time data from kafka, and process data with both stateless and state full transformationsworked with hive data warehouse infrastructure-creating tables, data distribution by implementing partitioning and bucketing, writing and optimizing the hql queriesbuilt and implemented automated procedures to split large files into smaller batches of data to facilitate ftp transfer which reduced 60% of execution timeworked on developing etl processes (data stage open studio) to load data from multiple data sources to hdfs using flume and sqoop, and performed structural modifications using map reduce, hived eveloping spark scripts, udfs using both spark dsl and spark sql query for data aggregation, querying, and writing data back into rdbms through sqoopwritten multiple mapreduce jobs using java api, pig and hive for data extraction, transformation and aggregationavrom multiple file formats including parquet, avro, xml, json, csv, orcfile and other compressed file formats codecs like gzip, snappy, lzostrong understanding of partitioning, bucketing concepts in hive and designed both managed and external tables in hive to optimize performancedeveloped pig udfs for manipulating the data according to business requirements and also worked on developing custom pig loadersdeveloping etl pipelines in and out of data warehouse using combination of python and snowflakes snowsql writing sql queries against snowflakeexperience in report writing using sql server reporting services (ssrs) and creating various types of reports like drill down, parameterized, cascading, conditional, table, matrix, chart and sub reportsused datastax spark connector which is used to store the data into cassandra database or get the data from cassandra databasewrote oozie scripts and setting up workflow using apache oozie workflow engine for managing and scheduling hadoop jobsworked on implementation of a log producer in scala that watches for application logs, transform incremental log and sends them to a kafka and zookeeper based log collection platformused hive to analyze data ingested into hbase by using hive-hbase integration and compute various metrics for reporting on the dashboardtransformed tpyspark using aws glue dynamic frames with pyspark; cataloged the transformed the data using crawlers and scheduled the job and crawler using workflow featureworked on installing cluster, commissioning & decommissioning of data node, name node recovery, capacity planning, and slots configurationdeveloped data pipeline programs with spark scala apis, data aggregations with hive, and formatting data (json) for visualization, and generatipysparkenvironment: aws, cassandra, pyspark, apache spark, hbase, apache kafka, hive, sqoop, flume, apache oozie, zookeeper, etl, udf, map reduce, snowflake, apache pig, python, java, ssrsonfidentialdeveloped and implemented hadoop code while observing coding standards.optimized and tuned hadoop environments and modified hardware to meet prescribed performance thresholds.developed new functions and applications to conduct analyses.created graphs and charts detailing data analysis results.tested, validated and reformulated models to foster accurate prediction of outcomes.fiserv-python developercity,state, 09/2012- 10/2013aws, s3, ec2, lambda, ebs, iam, datadog, cloudtrail, cli, ansible, mysql, python, git, jenkins, dynamodb, cloud watch, docker, kubernetesleveraged open communication, collective decision-making and thorough reviews to create performant and scalable systems.worked with server-side and front-end technologies and leveraged common design patterns to code dynamic and user-friendly systems.implemented new api routes, architected new orm structures and refactored code to boost application performance.harnessed version control tools to coordinate project development and individual code submissions.introduced cloud-based technologies into python development to expand on-premise deployment options.wrote clear and clean code for use in projects.resolved customer issues by establishing workarounds and solutions to debug and create defect fixes.