Job Summary:

• Responsible for design, development, and testing of application software
• Works in an Agile environment with a mix of onshore and offshore resources
• Responsible for effectively implementing the CI/CD for the applications
• Responsible for troubleshooting production issues and bringing about quick resolutions
• Installs and configures systems and other software
• Effectively collaborates with team members and business units and acts as a SME and mentor
• Identifies and resolves business systems issues
• Measures effectiveness and efficiency of existing systems
• Develops and implements strategies to improve systems
• Responsible for implementing the nonfunctional requirements of software
• Monitors and tests system performance
• Performs work with some independence of thought, but refers more complex problems to senior associates or supervisor/manager

Skills on Resume: 

• Software Design and Development (Hard Skills)
• Agile Methodologies (Hard Skills)
• Continuous Deployment (Hard Skills)
• Troubleshooting and Problem Solving (Hard Skills)
• System Installation (Hard Skills)
• Communication (Soft Skills)
• Business and Systems Analysis (Hard Skills)
• Non-Functional Requirements (Hard Skills)

Job Summary:

• Acts as subject matter expert for cloud data services, technically leading the company approach to big data solutions, designing and implementing cloud data services, as appropriate.
• Leads on the migration, transformation, cleansing and ingesting of high volume data from the group into the Group Data Platform.
• Creates reliable, distributed data pipelines and builds intuitive data products that allow stakeholders to easily leverage data in a self-service manner.
• Contributes to the group data platform roadmap, utilising the latest technologies
• Designs and implements ETL strategies and solutions.
• Works with data science team to ensure that data is appropriate for Machine Learning and Deep Learning work.
• Designs, develops, configures, debugs/tests, implements, manages and documents BI solutions and processes.
• Undertakes Data Transformation and tuning/optimisation of code and ensures all code is version-controlled with work clearly documented and centrally located, enforcing coding standards & design styles across the team.
• Provides technical oversight and coaching to the rest of the team for Cloud/Big data services including peer reviews of team members' work as part of the release process.
• Ensures the provision of a stable environment and continuity of service.
• Identifies opportunities to automate tasks and deliver generic frameworks which can be leveraged by different technical teams.
• Participates in the development of architectures, strategies, and policies around data governance including master data management, metadata management, data quality, and data profiling.

Skills on Resume: 

• Expertise in Cloud Data Services (Hard Skills)
• Big Data Solution Design (Hard Skills)
• Data Migration n (Hard Skills)
• Data Pipeline Development (Hard Skills)
• Self-Service Data Products (Hard Skills)
• ETL Strategy (Hard Skills)
• BI Solution Development (Hard Skills)
• Technical Leadership (Soft Skills)

Job Summary:

• Implementing and automating Internal data extraction from BW on HANA using aDSO, InfoCubes and Queries as InfoProviders via OpenHub
• Implementing ABAP routines needed for transformations or extractor logic when extracting data from SAP source systems
• Implementing and automating External data extraction from openly available internet data sources via REST APIs (e.g. OpenStreetMap, Google Maps, Flickr)
• Data ingestion via Data Factory activities and store it Azure Data Lake Store
• Data cleaning, curation and enrichment by using Azure Databricks (SQL, Python, R, PySpark, SparkR)
• Preparing consolidated data models for use by Data Scientists and populating SQL Databases for use by Web Application developers when a UI workbench
• Exposing data via Azure SQL DW for consumption in BI tools, SAP BW and other central systems
• Data Catalogue maintenance/update describing the data in the data lake
• Converting complex business requirements into preliminary planned, organized and scaled data processing pipelines
• Following pre-agreed with the Data Architect standards and rules
• Contribute to keeping and improving those standards and rules.

Skills on Resume: 

• Data Extraction and Integration (Hard Skills)
• ABAP Development (Hard Skills)
• Cloud Data Platforms (Hard Skills)
• Data Processing (Hard Skills)
• Database Management (Hard Skills)
• Business Intelligence (Hard Skills)
• Data Governance (Hard Skills)
• Project Management (Soft Skills)

Job Summary:

• Work independently and drive solutions end-to-end leveraging various big data technologies to solve data problems and develop innovative big data solutions.
• Participate in technical design discussions aiming for optimal performance-building streaming capabilities on the public cloud.
• Work on Big data components to build large-scale data processing systems.
• Leverage development operations techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Git, and Bit Bucket.
• Ensure code adheres to enterprise standards and principles
• Acts as an SME / Trusted day-to-day advisor to development teams on application portfolio, SDLC and development design frameworks, components and services re-use
• Responsible for the development of solution engineering options recommendations for all relevant applications in line with the agreed strategy and roadmap.
• Provides key inputs into future technology direction and areas associated stability, performance, and roadmap strategy and development initiatives for applications in the portfolio..
• Provide hands-on technical leadership for the design, development, and implementation of complex big data systems
• Work in a distributed development model that includes client staff members.
• Bring a strong background in Spark, PySpark, and Hadoop to the job

Skills on Resume: 

• Big Data Technologies Proficiency (Hard Skills)
• Cloud Computing Expertise (Hard Skills)
• Development Operations Skills (Hard Skills)
• Software Development Practices (Hard Skills)
• System Design (Hard Skills)
• Leadership Skills (Soft Skills)
• Roadmap Development (Soft Skills)
• Distributed Team Work (Soft Skills)