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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
Server Postgres Database Oracle Cassandra ETL Tools & Methods C++ Python Scala AWS
Requirement id
102343
Job title
Engineer
Job location
in The Woodlands, TX
Skills required
SQL, Server, NoSQL Databases, Postgres Database Oracle Cassandra ETL T
Open Date
21-Jan-2020
Close Date
Job type
Contract to Hire
Duration
6 Months
Compensation
DOE
Status requirement
not found
Job interview type
---
Apply
Email Recruiter:
coolsoft
Job Description
Engineer: SQL, Server, NoSQL Databases, Postgres Database Oracle Cassandra ETL T
Job Description :
Data Pipeline Engineer
Job Overview
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives. They will be open to a changing environment of tools and services as we buildout our Data Science and IT groups in the coming months.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL: awareness of AWS or other big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Qualifications for Data Engineer
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
Someone with Big Data development experience. This could include experience with a Hadoop distribution (Cloudera, Hortonworks, MapR) or a cloud solution (Amazon Web Services (AWS), MS Azure, or Google Cloud Platform (GCP))
Education
We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a Graduate degree or 5+ years and an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Position requirements:
Strong relational/non-relational database knowledge (SQL Server, noSQL, Oracle, Postgres, Cassandra etc.)
Strong database scripting experience (SQL, ETL Tools, etc.)
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with stream-proc
Call
502-379-4456 Ext 100
for more details. Please provide Requirement id: 102343 while calling.
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