Key Responsibilities
Own the design, development, and maintenance of scalable data pipelines and architectures
Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions
Implement and monitor data quality, data validation, and data governance processes
Mentor junior engineers and participate in code reviews to ensure high standards
Architect, document, and optimise end-to-end data flows in alignment with best practises
Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Skills and Attributes for Success
Bachelor’s and/or master's degree in computer science, engineering, mathematics, or another relevant subject
3+ years of experience, able to lead projects and mentor others
Experience with data modelling, design patterns, and building highly scalable and secure data solutions and infrastructure.
Knowledge of data warehouses, data marts and general data model techniques (Fact and Dimensional tables, Slowly Changing Dimensions)
Familiar with big data and cloud analytics platforms (e.g., Databricks, Snowflake, Google BigQuery, Apache Spark, Hadoop)
Experience with ETL tools (e.g. Matillion, SSIS, dbt)
Strong proficiency in SQL and relational databases such as MS SQL, DB2, Oracle, MySQL
Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
You have effective communication and presentation skills
It will be a plus if you have
Experience CI/CD for data pipelines
Experience in cloud platforms (Microsoft Azure, AWS, Google Cloud Platform)
Experience with orchestration tools (e.g., Airflow, Azure Data Factory)
Experience with enterprise data governance tools such as Microsoft Purview, Collibra, Informatica, or similar
Strong business understanding of the financial sector (Banking, Insurance)
You have experience with lean/agile software development
What we offer
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Building a better working world
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