Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, “hands-on” implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
• Participant on team responsible for corporate Big Data platform and Data Engineering solution
• Employ a variety of languages and tools to integrate and automate systems
• Create and secure reliable data layers using reusable components
• Interaction and partnership with teams both in the US and abroad.
• Continuous automation and deployment mindset
• Perform tuning and operational troubleshooting
• Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
• Establish development framework to speed up deployment and automation of Big Data solutions.
• Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
• Contribute to protecting data assets by assuring corporate data principles are successfully me
Minimum Requirements:
• 5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
• 2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
• Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
• 1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
• Development / Scripting experience with languages such as Go, Java and Bash.
• Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
• Experience in the retail, distribution and/or manufacturing sector
• Data modelling certification, Tableau experience and/or Machine Learning experience is a plus
All your information will be kept confidential according to EEO guidelines.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
The Data Analyst plays a key role in the supporting client implementations, expansions, and/or change requests. This is a contract to hire (CTH) role and we are looking for only candidates to IL. Responsibilities: • Work with various teams to recommend automation of manual process and performance enhancements. • Design & develop applications using UNIX scripting, SQL and Control-M. • Act as liaison between business area and technical team to ensure all parties have complete understanding of project scope and requirements. • Provide analytical and problem solving skills when addressing and resolving issues, assessing possible systems impacts, and recommending technical solutions. • Provide technical support to developers and consultants to ensure all company standards and procedures are met. • Conduct code walk-thru of systems solutions to ensure design quality and consistency, as well as cross-reference to the business requirements. • Utilize technical skills to design develop and test technical solutions to business. • Improve, automate, maintain and support existing batch processes. Qualified candidates will have: • BS in Computer Science or related discipline. • 2+ years IT experience, which includes SQL development with relational database (Sybase / Oracle / SQL Server) • Hands on experience with Sybase, UNIX, shell scripting is a plus • Experience with database consolidation, integration and migration projects. • Expertise in relational database design. • Excellent verbal and written communication, presentation and authoring skills. • Solid experience in data analysis, data modeling and performance tuning. • Strong analytical and problem solving skills. • Solid interpersonal and relationship building skills that enable cross functional partnerships. • Knowledge of IT industry trends and technologies. • Healthcare experience a plus • Experience with Real-time B2B, EDI, MQ Series, HIPAA transaction set is a plus. • ETL tools & process, including IBM InfoSphere experience is a plus. All your information will be kept confidential according to EEO guidelines.