Azure Data Engineer Senior
The opportunity
As part of our EYDnA 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.
Were 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 highquality data engineering deliverables helping to ensure project timelines are met and providing informal mentoring / training to junior members of the team
- Participate in RFPs 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 mediumsized 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
- Indepth 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 problemsolving 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
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