Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. 

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. 

We enable #HumanFirstDIGITAL

You’ll be responsible for (Responsibilities):

• Translating business requirements into technical specifications to ultimately deliver data solutions including integrations, data transformations, warehousing and business intelligence reporting.

• The design and implementation of data ETL pipelines to extract, transform and load data from client and third-party data sources.

• Implementing and enforcing data governance policies and processes to ensure data is of the highest quality.

• Developing and maintaining documentation related to data integration processes, data flows, and data quality.

• Participating in code reviews with other team members.

• Creating unit tests for test automation.

• Balancing pragmatic solutions with best practice and delivery

You’ll have (Qualification & Experience):

• Proven experience as a Data Engineer with a focus on Azure cloud data services (e.g. Azure Data Factory, Data Lake, etc).

• Experience working with databases (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar)

• Excellent SQL skills.

• Strong programming skills, ideally in Python.

• Hands-on, practical skills in dealing with large amounts of data.

• ETL pipeline development experience for data sources integration and data transformations.

• Experience of data wrangling, ideally including data quality profiling and monitoring against set KPIs.

• Experience of data modelling to describe the data landscape, entities and relationships.

• Proficient in the development of Power BI dashboards.

• Strong communication and teamwork skills to collaborate with cross-functional teams effectively.

It would be great if you have: 

• Knowledge of metadata management ideally with experience of creating and managing data catalogues, dictionaries and glossaries.

• An Azure certification, e.g. DP-900, AZ-900