Job Location: Thiruvananthapuram
Role Proficiency:
Independently interprets data and analyses results using statistical techniques
Outcomes:
- Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions.
- Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data.
- Utilizes historical data sets and planned changes to business models and forecast business trends
- Working alongside teams within the business or the management team to establish business needs.
- Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.
- Set FAST goals
Measures of Outcomes:
- Schedule adherence to tasks
- Quality – Errors in data interpretation and Modelling
- Number of business processes changed due to vital analysis.
- Number of insights generated for business decisions
- Number of stakeholder appreciations/escalations
- Number of customer appreciations
- No: of mandatory trainings completed
Outputs Expected:
Data Mining:
- Acquiring data from various sources
Reorganizing/Filtering data:
- Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.
Analysis:
- Use statistical methods to analyse data and generate useful results.
Create Data Models:
- Use data to create models that depict trends in the customer base and the consumer population as a whole
Create Reports:
- Create reports depicting the trends and behaviours from the analysed data
Document:
- Create documentation for own work as well as perform peer review of documentation of others’ work
Manage knowledge:
- Consume and contribute to project related documents
share point
libraries and client universities
Status Reporting:
- Report status of tasks assigned
- Comply with project related reporting standards and process
Code:
- Create efficient and reusable code. Follows coding best practices.
Code Versioning:
- Organize and manage the changes and revisions to code. Use a version control tool like git
bitbucket
etc.
Quality:
- Provide quality assurance of imported data
working with quality assurance analyst if necessary.
Performance Management:
- Set FAST Goals and seek feedback from supervisor
Skill Examples:
- Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
- Communication Skills: Ability to present findings or translate the data into an understandable document
- Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.
- Attention to Detail: Making sure to be vigilant in the analysis to come with accurate conclusions.
- Quantitative skills – knowledge of statistical methods and data analysis software
- Presentation Skills – reports and oral presentations to senior colleagues
- Mathematical skills to estimate numerical data.
- Work in a team environment
- Proactively ask for and offer help
Knowledge Examples:
- Proficient in mathematics and calculations.
- Spreadsheet tools such as Microsoft Excel or Google Sheets
- Advanced knowledge of Tableau or PowerBI
- SQL
- Python
- DBMS
- Operating Systems and software platforms
- Knowledge about customer domain and also sub domain where problem is solved
- Code version control e.g. git bitbucket etc
Additional Comments:
Big Data Developer UST Global® is looking for a highly energetic and collaborative Big Data developers with experience building enterprise data solutions around Business and IT operations. The ideal candidate should be an expert in the Big Data space, using traditional, new and emerging technologies. Candidate should have good experience in designing and developing for enterprise and customer data platforms. A good understanding of enterprise data architecture and systems is expected. Excellent written and verbal communication skills is key to be successful in this role. As a Big data developer at UST Global, this is your opportunity to • Create technical design and code based on the requirements and industry best practices • Work with Machine learning experts utilizing pattern recognition, text mining, clustering, and AI • Review functional and technical requirements, raising potential issues and participating actively in design discussions • Develop reusable artifacts/frameworks, re-usable assets, industry solutions, reference architecture, design, development and QA best practice • Work closely with Product Owners, Scrum Masters, Senior Business Analysts, and other client stakeholders • Working as a member of a design, build and test agile team continuously releasing new features • Mentoring people whether they are on your team • Key Responsibilities • Requirements and design • Coding • Integration • Testing • Feature Definition You bring: • Bachelor’s degree in Computer Science, Computer Engineering or a software related discipline. A Master’s degree in a related field is an added plus • 4+ years experience in programming languages and latest technologies such Java, Javascript frameworks, RESTful Services, Spark, Scala, Python, Linux, Hive, Kafka, Redis, and Hortonworks • 1+ years of hands on experience in integrating OTLP and ERP systems with big data/data lake repositories using ELT/ETL tools, preferably Informatica and Oracle • 1+ year of hands on experience in implementing and using CI/CD framework technologies such as Jenkins or Bamboo • Experience with technologies and frameworks such as Hadoop, MapReduce, Pig, Hive, HBase, Flume, ZooKeeper, MongoDB, NoSQL and Cassandra • Experience with Data warehousing and data mining is a must • SQL is must to have • 3+ years of experience working as a member of an Agile team • Understanding of strategic data planning, standards, procedures, and governance For this role, we value: • The ability to adapt quickly to a fast-paced environment • Excellent written and oral communication skills • A critical thinker that challenges assumptions and seeks new ideas • Proactive sharing of accomplishments, knowledge, lessons, and updates across the organization • Experience designing, building, testing and releasing software solutions in a complex, large organization • Demonstrated functional and technical leadership • Demonstrated analytical and problem-solving skills (ability to identify, formulate, and solve engineering problems) • Demonstrated understanding of Algorithms, Data Structures, Object Oriented Design, Databases (SQL / NoSQL) • JavaScript and Java development experience • Experience with RESTful Web Service Design • Experience with Azure, AWS or other Cloud-based PaaS/SaaS environments Overall Experience level: 4+ years in IT
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