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This is a strong technology and solution delivery role, accountable for the successful design, development, and delivery of Data Engineer solutions on the corporate Data Platform. The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications. It requires to work with current technologies used by IntelDS and in particular Spark, Presto, Hive and RedShift on AWS environment.
Job Responsibility:
Collaborating with functional teams including, but not limited to, requirement reviews to define solutions or alternatives according to the business need and technological capabilities/limitations
Influencing technical and business members at different levels of the organization to ensure data models align to strategic objectives, considering current need and future potential (scalability/reusability)
Promoting “data first” benefits to the organization and usage of Enterprise capabilities to relevant business groups
Defining the data architecture framework, standards and principles, including modeling, metadata, security, reference data and master data
Hands-on on experience in building conceptual, logical & physical dimensional data models
Prepare designs for database systems and recommend improvements for performance
Maintain and develop various database scripts and tools to facilitate automation process
Assess database implementation procedures to ensure they comply with internal and external regulations
Prepare accurate database design and architecture reports for management and executive teams
Following all standard System Development Life Cycle processes and producing required documentation
Producing guidelines and standards for E2E analytics implementation for both ETL & Reporting usage, manageability and maintainability within the organization
Executing analysis, planning, right technology selection, prototyping, designing, developing, deploying, and assisting in end-user training of solutions to the user community for projects, changes and maintenance & evolutions
Providing leadership, technical guidance, training and mentoring to others in areas of acquired/assigned expertise, including external consultant partners – knowledge sharing is key to our success
Staying abreast of industry standard and cutting-edge technologies through whitepapers, vendor-based collaboration and literature, and technical newsgroups – sharing the research with all members of the local team and extended global community through our internal collaboration tools
Communicates risks and ensures understanding of these risks
Post go live support – via ticketing tool - of the full Enterprise B.I. & Analytics platforms’ capabilities – irrespective of technology
The first contact point of our end users globally in run mode – optimal communication, resolution and issue closure
Operational availability of our evolving technology portfolio, with a deep understanding of the various technical components/features of each technology and proactive trending of weaknesses/’areas to watch’ with proposals to Platform Owner of evolutions required
Realizing (& exceeding) our SLAs and Service Delivery KPI targets by defining those KPIs, with daily monitoring and benchmarking on both quantitative and qualitative measures
Once identified, contributing to upgrades/evolutions end to end on the portfolio of technologies
Creation and Maintenance of the knowledge store of operational issues, trends, activities
Applying Problem Management techniques to reduce recurring incidents and requests
Requirements:
B.E / B TECH/MASTERS IN COMPUTER SCIENCE, ELECTRONICS, RELEVANT TECHNICAL CERTIFICATION
15+ years experience of the full software development lifecycle on BI projects and support experience
10+ years experience on working on data objects pertaining both master and transactional data in Purchasing, Material, Sales Orders and Supply chain in SAP & Oracle ERP is mandatory
8+ years in Dimensional Data modelling experience (STAR & Snowflake)
Expertise in AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion Tool
Any one data modeling tool experience is mandatory (Erwin or any other tool)
Need to be strong in SQL query writing and procedures
Experience in following components (or similar): BI tools: Tableau, Oracle Business Intelligence, PowerBI…
ETL tools: Informatica PowerCenter, PL/SQL, IICS…
Data bases: RedShift, Oracle, PostgreSQL, Exasol,…
Other: object-oriented programming language (python)
Experience managing servers both Cloud and On-prem (ideally experienced in AWS
Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
Ability to communicate effectively, both verbal and written
excellent presentation skills
Ability to effectively move forward on tasks even with ambiguous or changing requirements
Ability to work in a team-oriented, collaborative environment in a global context
Willingness and ability to train and teach others
Ability to facilitate meetings and follow up with resulting action items
Ability to self-manage, prioritize and execute tasks in a high-pressure environment
Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills
The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities
Strong consultancy orientation and experience, with the ability to form collaborative, productive working relationships across diverse teams and cultures is a must
The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners
Nice to have:
Experience in industry model will be added advantage