Staff - Data Engineer (Azure databricks)

Own the design, development, and implementation of data infrastructure and pipelines aggregating data from multiple internal and external sources to support marketing analytics.

Lead data ingestion processes ensuring data quality, monitor pipelines, and troubleshoot data-centric issues using big data/cloud technologies including Hadoop and Spark.

Collaborate with data architects, analysts, and business users to translate requirements into analytical tools, dashboards, and automated solutions to enhance business analytics capabilities.

Bachelor’s degree in Computer Science, Information Systems or equivalent; Master’s degree preferred.

8-10 years of IT experience with expertise in SQL, Hadoop ecosystem, data warehousing, and data modeling.

Experience with Agile project management (JIRA) and software development using Agile methodologies.

Not explicitly mentioned in the JD: Notice period and strict location requirements.

Experienced in end-to-end data engineering for marketing analytics in financial services or credit card domains with knowledge of relevant regulations.

Skilled in big data tools such as Hadoop, Spark, and cloud technologies (experience with Azure data environment is a plus).

Ability to act as a subject matter expert, mentor others, and communicate technical concepts effectively across technical and non-technical stakeholders.