Vriba - Data Engineer

Role : Data Engineering

Location : Remote. Looking for 5-10 years of Exp.

Job Description :

- Design, develop & maintain ETL/ELT pipelines.

- Ingest & transform data from APIs, DBs, files, streams.

- Build real-time & batch processing solutions.

- Data validation, quality & cleansing.

- Translate business needs into data models. Ensure data security, access control & compliance.

- Maintain documentation & best practices.

- Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions.

- Deep data focus with expertise in technology domain

- A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff.

- Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers.

- Coordinate the change management process, incident management and problem management process.

- Present reports and findings to key stakeholders and be the subject matter expert on Data- Analysis & Design.

- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.

- Contributes to community building initiatives like CoE, CoP.

Mandatory skills :

- ELT

- Data Modeling

- Data Integration & Ingestion

- Data Manipulation and Processing

- GITHUB, Action, Azure DevOps

- Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Optional skills :

- Experience working with BPC, Planning.

- Exposure to working with external technical ecosystem.

- MKDocs documentation