EY Associate Lead - Data Engineering Databricks 

Sri Lanka, Western Province, Colombo 

125901043

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.

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

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 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.