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Senior Big Data Engineer

iCube Consulting Services
Jacksonville, FL

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Job Details

Benefits

Disability insurance
Health insurance
Dental insurance
Happy hour
Paid time off
Flexible schedule
Food provided

Qualifications

Application Integration
Data quality checks
Commercial use (data warehousing systems)
Systems integration
Software engineering
Data Integration (Data management)
Business intelligence
HDFS
Computer Science
Cassandra
XML
Distributed file systems
NiFi
Tooling
MapReduce
Spark
System performance optimization
Software implementation
Information Systems
Apache Hive
MongoDB
Scalable systems
3 years
Java
Spark implementation
Bachelor's degree in engineering
HBase
Scala
Data quality monitoring
Implementation (software development lifecycle)

Full Job Description

Life at ICUBE CSI

Are you interested in working with a startup in cutting edge Technology space ?

Are you excited about Artificial Intelligence, Machine Learning, Data Analytics ?

Come join our ICUBE CSI team! Our team comes from all over the world with backgrounds in different types of industries. We are building a close knit team and meaningful culture.
Our benefits: We’re happy when you’re happy. To make this happen, we offer competitive compensation, big-company benefits and a startup culture with vibrant energy and cool perks of a startup.

Health care (medical and dental)
401k/Retirement Benefits
Life/LTD Insurance
Flexible schedules
Paid time off

Training & development
Fun, diverse and intellectually eager coworkers
Team happy hours and retreats
Workplace perks such as food/coffee

We are building innovation around Data Analytics, Data Management using open source technologies. Our company thrives on selling big data analytics solutions. Our in-house advanced big data analytics team comes with backing of its leadership team with 100+ combined years of experience in data engineering, data processing, infrastructure designs, machine learning and visualization. We are an equal opportunity employer.

Everyone can push forward in good times and when all is going perfectly as planned. But when it doesn’t go perfectly, you’re ready to attack problems head on. Business isn’t always easy, but you’re known for being there through thick and thin.

Responsibilities:

Design, Develop and Implement Big data engineering projects in Hadoop ecosystem.
Engineer solutions with Cloudera, MapR or HDP for both batch & streaming data with high quality and with a sense of urgency.
Develop application and custom integration solutions using spark streaming and Hive.
Understand specifications, plan, design and develop software solutions, adhering to process – either individually or collectively within a project team
Work in state-of-the art programming languages and utilize object-oriented approaches in designing, coding, testing and debugging programs.
Work with support teams in resolving operational & performance issues
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Integrate data from multiple data sources, Implementing ETL process using APACHE NIFI
Monitoring performance and advising any necessary infrastructure changes
Management of Hadoop cluster, with all included services such as Hive, HBase, mapReduce and Sqoop
Cleaning data as per business requirements using streaming API’s or user defined functions.
Build distributed, reliable and scalable data pipelines to ingest and process data in real-time, defining Hadoop Job Flows.
Managing Hadoop jobs using scheduler.
Apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics.
Work with various hadoop ecosystem tools like Hive, pig, Hbase , spark etc.
Reviewing and managing Hadoop log files.
Assess the quality of datasets for a hadoop data lake.
Fine tune Hadoop applications for high performance and throughput.
Troubleshoot and debug any Hadoop ecosystem run time issues.

Being a part of a POC effort to help build new Hadoop clusters

Education:

Bachelor’s Degree or higher in Computer Science, Information Systems or related engineering disciplines

General Knowledge, Skills & Abilities

Be a good detail-oriented data engineer
Systematic and organizational skills important.
Willing to commit for completing deliverable on time.

Preferred Qualifications:

Must have experience with Spark, Hive, Scala or py spark.
Preferred experience in one of the following technologies: Nifi, Kafka, or any other streaming technologies.
3+ years experience in data engineering building ETL pipelines using JAVA or Python or Scala
Should be good at Pig, HIVE scripting.
Solid understanding of HDFS is important.
Work experience within a Data Warehousing/Business Intelligence/Data analytics group, and have hand’s-on experience with Hadoop
Create tables/views in Hive or other relevant scripting language
Have experience with Agile development methodologies
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.

Experience Architecting Solutions Utilizing any of the following:

JAVA or Python or Scala programming languages
Nifi, Kafka-topics, or any other streaming technologies
Parquet/Avro/ORC/XML/JSON/ORC/CSV/TXT formats

Location: Jacksonville, FL

Send your resumes to careers@ICUBE CSI.com

Apply Now

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Life at ICUBE CSI

Are you interested in working with a startup in cutting edge Technology space ?

Are you excited about Artificial Intelligence, Machine Learning, Data Analytics ?

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