Job description:
sr. accountant-accounting dallas, texas as a sr. accountant in the accounting department at childrens health, youll contribute to making life better for children by monitoring and maintaining the general ledger accounts and business transactions of the organization, applying the generally accepted accounting principles (gaap) that include analytical work and thorough review of financial records. this role will also include prepare monthly, quarterly, and annual consolidated health system financial statements, including schedules, footnotes, and md&a in accordance with generally accepted accounting principles. prepare benefit and single audit financial packages and audit schedules; coordinate information gathering from internal and external customers; and answer auditor inquiries. prepare and post monthly journal entries according to established guidelines and timeframes as well as perform monthly account variance analysis for balance sheet and income statement accounts for the financial review process and prepare and record adjusting entries as necessary. prepare audit schedules, answer audit questions as needed, and prepare ad hoc reports as requested by management. this is a remote position working monday thru friday from 8:00 a.m. to 5:00 p.m. experience required: at least 3 years of related experience. education required: four-year bachelors degree or equivalent experience. licenses and certifications preferred: cpa (certified public accountant) role each member of our team plays in making life better for children. we employ more than 7,500 people and provide rewarding career opportunities that help you reach your highest potential. we are widely recognized for delivering high quality care , we serve as the primary pediatric teaching facility for the university of texas southwestern medical center , and we have been named one of the 150 top places to work in healthcare by beckers healthcare for nine consecutive years. learn more about childrens health. benefits childrens health offers competitive pay, a comprehensive benefits program and opportunities for learning and career development. we promote a diverse and inclusive workplace, and our team members have a voice in their work through surveys and town halls.

Resume:
<<professional summaryenergetic data engineer in developing robust code for high-volume businesses. strong decision-maker with 6 years of experience in data engineering and help firms in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. ability to translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. skills python 3.x, r, sqlhadoop, apache sparkhive, pig, kafka, sqoop, oozieteradata, snowflakeamazon s3,emr,lambdagit, jenkins, splunkms officemicrosoft visual c#.net education the university of texas at dallasrichardson,txexpected in4 2020––master of science:business analytics-gpa: work history avanade- , 04/2020-currentcombining data from multiple source systems (profile, systematics, etc.) and multiple platforms (snowflake, onelake, hubs) and computing canonical gold-star metrics “once and for all” to cut operational costs.develop spark jobs to transform data and apply business transformation rules to load/process data across enterprise and application specific layers.experience in building/operating/maintaining fault tolerant and scalable data processing integrations using aws.configured s3 buckets with various life cycle policies to archive the infrequently accessed data based on requirement.good working experience on submitting the spark jobs which shows the metrics of the data which is used for data quality checking.working on building efficient data pipelines that transform high volume data into a format used for analytical, fraud prevention and ml use cases.extensively used splunk search processing language (spl) queries, reports, alerts and dashboards.excellent knowledge of source control management concepts such as branching, merging, /tagging and integration, with tool like git.performing data quality checks like row count, schema validation, hash key validation for all data movement between applications.avanade- , 08/2019- 04/2020responsible for designing and developing various analytical solutions for gaining analytical insights into large data sets by ingesting and transforming these datasets in the big data environment using technologies like spark, sqoop, oozie, hive.scheduling jobs to automate the process for regular executing jobs worked on using oozie.developed oozie workflow schedulers to run multiple hive and pig jobs that run independently with time and data availability.familiar with data architecture including data ingestion pipeline design, hadoop information architecture, data modeling and data mining,machine learning and advanced data processing.all the projects which i have worked for are open source projects and has been tracked using jira.parallel copying of files between various clusters using distcp, kafka in hadoop.ascend learning- , 09/2018- 12/2018acquire, clean, integrate, analyze and interpret disparate datasets using a variety of statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.developed linear mixed effects models for boston ed-fi dataset to estimate the teacher contribution to the student test scores.random intercept model which utilized a pre-post-test design and included fixed effects for student demographics and a growth model where students were nested by time (random slope and intercept) and teacher was tested.generated various clustering models for entire west virginia department of education and evaluated cluster’s performance.verizon-big data engineer. 01/2014- 07/2017identify customer's digital analytical needs and engage with customer and principal architects daily, understand the business requirements for big data analytical solutions and break down large scale requirements into detailed system specifications.moving data to hdfs framework using sqoop from teradata, sql server.good working experience on hadoop tools related to data warehousing like hive, pig and also involved in extracting the data from these tools on to the cluster using sqoop.solved performance issues in hive with understanding of joins, groups, bucketing, partitions and working on them using hiveql.deployed programs written in pyspark to run spark mllib, for analytics and reduced customers churn rate by 25%. skills python 3.x, r, sqlhadoop, apache sparkhive, pig, kafka, sqoop, oozieteradata, snowflakeamazon s3,emr,lambdagit, jenkins, splunkms officemicrosoft visual c#.net.