Lead Bigdata Consultant
Lead Bigdata Consultant
Posted on :
27-09-2024
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Job Description
Position: Lead Bigdata Consultant
Location: OFallon MO (Day 1 Onsite)
Duration: Long Term Contract
Required Exp 12 years
Bigdata Consultant
Job Description:
Strong People management leadership organizational skills. Outstanding communication (written and verbal) skills.
Experience leveraging opensource tools predictive analytics machine learning Advanced Statistics and other data techniques to perform basic analyses.
Demonstrated basic knowledge of statistical analytical techniques coding and data engineering.
Experience developing and configuring dashboards is a plus.
Demonstrated judgement when escalating issues to the project team.
High proficiency in Python/Spark Hadoop platforms & tools (Hive Impala Airflow NiFi) SQL.
Curiosity creativity and excitement for technology and innovation.
Demonstrated quantitative and problemsolving abilities.
Expert proficiency in using Python/Scala Spark (tuning jobs) SQL Hadoop platforms to build Big Data products & platforms.
Comfortable in developing shell scripts for automation.
Proficient in standard software development such as version control testing and deployment.
Experience with visualization tools like tableau looker.
At least 5 years leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum.
Extensive data warehousing/data lake development experience with strong data modelling and data integration experience.
Good SQL and higherlevel programming languages with solid knowledge of data mining machine learning algorithms and tools.
Strong handson experience in Analytics & Computer Science.
Demonstrated basic knowledge of statistical analytical techniques coding and data engineering.
Experience in building and deploying productionlevel datadriven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java Scala or Python and deliver analytics involving all phases like data ingestion feature engineering modelling tuning evaluating monitoring and presenting.
At least 12 years of relevant handson experience as a Data Engineer in an individual contributor capacity.
Able to lead the implementation of machine learning production systems.
Demonstrated ability through handson experience to develop production machine learning pipelines.
Experience leveraging opensource tools predictive analytics machine learning Advanced Statistics and other data techniques to perform basic analyses.
Demonstrated basic knowledge of statistical analytical techniques coding and data engineering.
Experience developing and configuring dashboards is a plus.
Demonstrated judgement when escalating issues to the project team.
High proficiency in Python/Spark Hadoop platforms & tools (Hive Impala Airflow NiFi) SQL.
Curiosity creativity and excitement for technology and innovation.
Demonstrated quantitative and problemsolving abilities.
Expert proficiency in using Python/Scala Spark (tuning jobs) SQL Hadoop platforms to build Big Data products & platforms.
Comfortable in developing shell scripts for automation.
Proficient in standard software development such as version control testing and deployment.
Experience with visualization tools like tableau looker.
At least 5 years leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum.
Extensive data warehousing/data lake development experience with strong data modelling and data integration experience.
Good SQL and higherlevel programming languages with solid knowledge of data mining machine learning algorithms and tools.
Strong handson experience in Analytics & Computer Science.
Demonstrated basic knowledge of statistical analytical techniques coding and data engineering.
Experience in building and deploying productionlevel datadriven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java Scala or Python and deliver analytics involving all phases like data ingestion feature engineering modelling tuning evaluating monitoring and presenting.
At least 12 years of relevant handson experience as a Data Engineer in an individual contributor capacity.
Able to lead the implementation of machine learning production systems.
Demonstrated ability through handson experience to develop production machine learning pipelines.
Employment Type
Full Time
Key Skills
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