Sr. Hadoop Data Engineer

Sonoma Consulting Inc.; St. Louis (MO); On-site; USD 100,000 - 130,000; Full time

Job summary

A reputable IT consulting firm in St. Louis is seeking a Full-Time Data Engineer with extensive experience in Big Data and Hadoop solutions. The ideal candidate should possess a Bachelor's degree and 8+ years of relevant experience or a Master’s degree with 6+ years. Key responsibilities include designing scalable data pipelines and implementing ETL processes. Candidates must be US Citizens or Green Card Holders. This opportunity offers a chance to work on innovative projects within a collaborative team environment.

Qualifications

• 8+ years relevant experience with a Bachelor's degree or 6+ years with a Master's.
• 4+ years implementing big data solutions on Hadoop.
• Experience building stream-processing systems.

Responsibilities

• Implement data ingestion and ETL processes on Hadoop.
• Design and build scalable data processing pipelines.
• Participate in Agile development with daily scrums.

Skills

Big Data tools

Hadoop

Data ingestion and ETL processes

Scala

Java

Python

NoSQL databases

Kafka

Education

Bachelor's degree

Master’s degree

Tools

Hadoop v2

MapReduce

Spark

HDFS

Hive

Kafka

Job description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world’s leading companies to help them build innovative businesses that keep them one step closer to their customers and one step ahead of the competition. We offer a meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting-edge digital innovation for our customers.

We delight in helping our customers execute their digital vision. Big projects or small, Halo Group knows that by combining the highest quality talent with our unwavering support, we will become an invaluable extension of the team.

Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of product/project governance, UX/UI, multi-platform applications, quality assurance/testing, cloud computing, and data analytics.

Since its inception, Halo Group has been recognized for numerous awards, including:

• INC 5000
• Future 50
• 101 Best and Brightest
• Michigan 50 Companies to Watch
• Goldline Research - “Most Dependable Companies”
• Ernst & Young - “Entrepreneur of the Year” Finalist

Job Description

Preferred

• Selecting and integrating Big Data tools and frameworks required to provide requested capabilities
• Implementing Data ingestion and ETL processes on Hadoop
• Monitoring performance and advising any necessary infrastructure changes
• Defining data retention policies
• Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem
• Develop applications that are scalable to handle millions of events/records
• Design and launch scalable, reliable and efficient processes to move, transform and report on large amounts of data
• Participate in meetings with business (account/product management, data scientists) to obtain new requirements
• Follow our Agile software development process with daily scrums and monthly Sprints
• Ability to work collaboratively on a cross-functional team with a wide range of experience levels

QUALIFICATIONS

• Bachelor's degree and8+ years relevant experience or Master’s degree and 6+ years of relevant experience
• 4+ years in industry implementing big data solutions on Hadoop
• Proficient understanding of distributed computing principles
• Proficiency with Hadoop v2, MapReduce, HDFS
• Experience with building stream-processing systems, using solutions such as Storm or Kafka and Spark-Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, Phoenix
• Experience with Spark
• Experience with integration of data from multiple data sources
• Experience with 1 or 2 NoSQL/Graph databases, such as HBase, Cassandra, MongoDB, Neo4j
• Proficiency in a programming languages like SCALA, Java,Python
• Experience with Linux OS, shell scripting
• Experience with relational databases (SQL)
• Experience in working with real-time data feeds
• Experience in working with unstructured data
• Experience in implementing Scoop Jobs to Import/Export data from Hadoop
• Knowledge of various ETL techniques and frameworks, such as Pig, Hive, or Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Hortonworks Hadoop Data Platform (HDP)
• Experience with all or some of the following supporting Hadoop administration and security frameworks: HCatalog, Drill, NiFi, Oozie, Falcon, Ranger, Ambari, Zeplin.

Qualifications

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
• At least 2 years of experience with Information Technology

Additional Information

U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.

This is a Full-Time / Permanent job opportunity. Only for US Citizen and Green Card Holder

All your information will be kept confidential according to EEO guidelines.