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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformHBaseInformaticaJavaKafkaLinuxMapReduceOraclePythonSDLCShell ScriptingSparkSQLUnix
About the role
Key responsibilities & impact- Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
- Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
- Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
- Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
- You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
- Support the project teams in recommending BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.
Requirements
What you’ll need- Fresh graduates
- In your final year of study or recent graduate between 0-2 years of work experience.
- Strong academic degree / master in Computer Science, Data, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines.
- Proficient in at least one programming language (Python, C, Java, etc.).
- Good understanding in Artificial Intelligence and Machine Learning.
- Understanding of SDLC Waterfall and Agile Development Methodologies is a plus.
- Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure is a plus.
- An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
- General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage.
- Demonstrates interest for all the latest technologies, libraries & languages.
- Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities.
- Drive, tenacity, entrepreneurship, client focused and results oriented.
- Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated.
Benefits
Comp & perks- Strong commitment to personal learning and development
- Opportunity to work with some of the best and brightest people
- Collaborative team environment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRSQLOracleSAPClouderaIBM WatsonData GovernanceData QualityMDM
Soft Skills
analytical skillsoral communicationwritten communicationself-motivatedclient focusedresults orientedteamworkpublic speakingpresentation preparationtenacity