Job description:
title: sr. data engineerlocation: austin, txduration: 6 monthspay rate: $65hr - $70hr on w2 requirements:bachelors degree in computer science or related field plus 4+ years of relevant work experience or a master's degree plus 2+ years of relevant work experience or a phd plus 0-1 years of relevant experiencein lieu of a degree, qualified candidates would require 8+ years of relevant professional experienceexcellent with sqlexcellent programming skills in python and ideally demonstrating an aptitude via experience with multiple languagesexcellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, starexcellent experience supporting snowflake data warehouse, including snowpipe (including streams), tasks, transformations, views, dynamic tables. this should include advanced skills in ensuring efficient utilization of snowflake compute and the ability to optimize workloads and warehousebroad experience with cloud paas capabilities, ideally aws cloudwatch, lambda, step functions, snssqs, dynamodb, etc.experience utilizing reporting and data insights toolsexperience in supporting analytics teams data needs, in addition to customer and business reporting. what you'll be doing:provides data engineering support for areas such as finance, sales, business intelligence, product development andor other business usersworks with data consumers and project managers to determine logical and physical database designs for analytics modelscreates and maintains optimal data pipeline architecturesensures architectures are aligned with and support business requirements;ensures that required data is available, can be trusted and is readily accessible by those who need itinfluences the data infrastructure roadmapidentifies, designs and implements internal data management process improvementsplays a key role in application development projects to evolve the companys database architecture and designworks with internal and external data providers on data validation, providing feedback and making customized changes to data feeds and data mappings for analytical and operational useautomates manual processes, transforming them into repeatable capabilitiesworks with fellow team members to ensure design, development and execution align with and support adjacencies and adhere to established architectural standards. top 5 must haves:excellent with sqlexcellent programming skills in python and ideally demonstrating an aptitude via experience with multiple languagesexcellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, star;excellent experience supporting snowflake data warehouse, including snowpipe (including streams), tasks, transformations, views, dynamic tables. this should include advanced skills in ensuring efficient utilization of snowflake compute and the ability to optimize workloads and warehousebroad experience with cloud paas capabilities, ideally aws cloudwatch, lambda, step functions, snssqs, dynamodb, etc.

Resume:
<<profilehighly motivated sales associate with extensive customer service and sales experience. outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. core qualificationsexpertise in full project life cycle development for implementation and integrationmotivational and co-ordination skills with ability to deliver systems on scheduleanalyze and drill data marts for information miningchange management process for data qualityexperience d in requirement analysis, test design, test preparation, test execution, defect management, and management reporting.experience d in developing data mapping, performance tuning and identifying bottlenecks of sources, mappings, targets and sessions.experience d in development of etl mapping and scripts. understand , debug of etl jobs, for transforming data , remove duplicatesexperience d with batch systems scheduling and processing.jad sessions to determine the requirements for purchase order requisition conceptual modelexperience with large enterprise data warehouse (olap) architecture design including logical and physical model development.data models and enterprise data models.expertise in extracting and transforming large data-sets; experience with etl tools like ibm infosphere data stage, ssisexperience d working with offshore vendors and establishing offshore teams and processes.demonstrated experience with database technologies (e.g. sql server, sybase, mysql).move data from oracle to sybase using sybase gatewayexperience with hybrid cloud platforms, oracle vm serverhands-on experience with production reporting and bi platformssetup oracle rac clusters for production and non-production environment professional experience lead data/database architect, 12/1993- 12/1994–.worked collaboratively with team members using microsoft lync / webex; led/coordinated meetings between multiple time zones with both on/offshore team members.provided findings with questions to business analysts for verification; provided metadata such as allowed values, defaults , constraints , domain inconsistencies, data layouts for flat files etc.for reference to data modeling or etl team.worked on txbase erp software for inventory systems at the factory worked on shop floor in understanding the movement of items from bins to factory floor understand and identify data relationship for inventory of items and automating of issues/receipts using scanner software design and creation of models for maintaining product receivables and issues generation of reports of stock ledger for use by purchase department for ordering of new items schedule of quotations and bill of materials for each items building of large database in sybase system 10 for inventory and materials generation of purchase orders from quotations.design and creation of tables for each process change management impact analysis of data.sr programmer/systems analyst, 11/1988- 12/1993na–.jad sessions to determine the requirements for purchase order requisition conceptual model designed logical and physical data models.analyzed source data to determine what meta-data was to be included in the logical data model performed data mapping to determine where identified source data belonged in the data base.created forward engineered sql from case tool, which was loaded to build and maintain the data base.used transact sql to load data into sybase/mssql server to load source data into the data base designed tables for bank reconciliation system , purchase order requisition system identified attributes , entities and converted into physical tables for different account heads related to company purchase order requisition system towards identifying of customers , supplier rates , deviation from scheduled delivery dates.designed tables related to generation of max/min levels of inventory in hand for production reports for cost of total stock in hand installation of audit trail for the system for changes made and a report to management about date-time of change enforce data integrity using primary key , foreign key and composite key identifying indexes on tables for optimum data retrieval residency status: united sates citizen.senior data technical solutions architect,-–.responsibilities at aig: provide production support to various oracle/sybase/microsoft database environments across enterprise.developed dump/restore scripts for sybase.rman backup scripts hot/cold backup and datapump scripts for oracle.setup automated alerts for disk space monitoring, database server up-time monitoring, thru ca pronet.oracle/sybase security patch updates on database home , when available through scheduled change tickets.autosys job scheduler for scheduling jobs, viz backup/dump/ order to maintain support from software vendor.work with application teams on upgrade schedule.setup test servers/database for upgrade testing.written security stored procedures as required by compliance for password security.server, query, application performance tuning when there is deterioration in query performance.reverse engineer physical database to logical models when needed using powerdesigner/embarcadero/er-win as needed for identifying table/data relationship.schedule time with unix engineers for san migrate of datafiles/ database needs to be migrated to a new host. education training from ibm in datastage/parallel extender, infosphere datastage training in ldom , -memory database from oracle university project management training towards certification masters in administrative management - mumbai university:,expected in--,gpa:status- skills administrative, backup, , case tool, , data modeling, data warehouse, databases, data base, database, datastage, delivery, engineer, -win, etl, gateway, ibm, inventory, ledger, management reporting, materials, max, meetings, memory, mysql, enterprise, olap, oracle, processes, project management, quality, reporting, requirement, san, scanner, scheduling, servers, sql server, mssql, sql, sybase, tables, transact sql, unix, , written.