Administer critical analysis of test results and delivering solutions to problem areas, and provide feedback to analysis/training staff about performance considerations/usability issues concerning software specifications and implementations.
More Uses of the Apache Spark Toolkit:
- Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs.
- Develop new tools and methods to provide customers with better insights into mission areas, improve customer efficiency, and highlight concerning or non obvious patterns in data.
- Contribute to team activities across life cycle systems management processes from stakeholder needs through validation.
- Collaborate with leaders and managers to determine and address data and reporting needs for various organization projects.
- Drive: for hiring you focus less on data structure algorithms and more on practical problems, approach, knowledge and person.
- Contribute to and lead the continuous improvement of the software development framework and processes by analyzing, designing and developing test cases and implementing automated test suites.
- Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity.
- Manage work with multiple stakeholders to identify key security and business challenges and provide data driven support to risk based analysis of security issues.
- Ensure you mobilize; build and run a Technical Product function that is able to help drive product strategy by being part of your build, buy, partner decisions.
- Ensure your planning complies; implements activities that generally impact multiple components / processes and the work of own and possibly other teams.
- Develop and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics to develop solutions.
- Provide advanced support of cost effective information technology solutions by creating new, modifying, and supporting existing software applications.
- Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize opportunities.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
- Utilize multiple development languages/tools as Python, Spark to build prototypes and evaluate results for effectiveness and feasibility.
- Audit: propensity to synthesize complex concepts and data and present clear information to executives, cross functional teams, and internal customers.
- Establish that your team analyzes mission and business metrics, systems, processes, and organizational architectures to improve development activities and outcomes.
- Oversee: systematically identify and address data quality problems, as historical gaps, low sampling rates, and strange outlier patterns in the data themselves.
- Initiate: in operations it you focus solely on performance and strategy leading transformation and innovation and managing the development of new solutions.
- Be certain that your strategy complies; designs and develops data ingestion frameworks, real time processing solutions, and data processing/transformation framework leveraging open source tools.
- Warrant that your operation uses open and appropriate means of communication with management, stakeholders and peers on work status, risks, issues and opportunities.
- Devise: work closely with product, engineering, documentation and business stakeholders to ensure the delivery and improvement of the collector product.
- Acquire data from different data sources, correlate, and map data to develop new integrated data sets using business logic.
- Engage with domain specific experts to rapidly acquire data and process specific insights needed to address customers core problems.
- Coordinate: prototype solutions, prepare test scripts, and conduct tests for data replication, extraction, loading, cleansing, and data modeling for data warehouses.
- Steer: adaptable to a fast changing work environment; able to deliver accurate and on time payroll regardless of the circumstances.
- Coordinate: work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale.
- Set and execute a strategic business development plan for target markets and ensure it is in line with the AWS strategic direction.
- Utilize cutting edge statistical and machine learning methods to dig into complex data to deliver data driven solutions.
- Ensure you know how to sell innovation and disruption through customer vision expansion and can drive deals forward to compress decision cycles.