GDS Consulting D&A Azure Data Engineer - Senior
Colombo, LK
EY
Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity
As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.
Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.
We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.
Your key role and responsibilities
- Hands on Data Engineering role. Delivering high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
- Participate in RFP’s, solutioning and estimations
- Hands on role on data models, data storage, cleansing, validation integration and transformation and data migration to manage data within the organization, for a small to medium-sized project
- Resolving escalated design and implementation issues with moderate to high complexity
- Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes
- Developing working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions
- Driving adherence to the relevant data engineering and data modelling processes, procedures and standards
- Need to work as a team member to contribute in various technical streams of project implementation
- Interface and communicate with the onsite coordinators
Skills and attributes for success
- In-depth cloud domain experience with focus on Snowflake/ Microsoft Azure / Microsoft Azure Stack solutions
- Experience building on Azure using Databricks, ADF
- Good to have Synapse experience
- Sound programming, debugging/troubleshooting and problem-solving skills with familiarity in Scala/ Java / Python on Spark/ Pyspark
- Strong knowledge in Pyspark/ Spark SQL
- Strong data warehousing concepts
- Good analytical skills
- 4+ years of work experience with very large data warehousing environment
- 4+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
- Specialization in a specific sector/domain will be an added advantage
What working at EY offers
At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role
with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:
- Support, coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Consulting Data Analytics Databricks Data warehouse Data Warehousing ELT Engineering ETL Java PySpark Python Scala Snowflake Spark SQL Statistics
Perks/benefits: Career development
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