Key Responsibilities
. Design and develop high quality analytical solutions using specialist platforms such as Appian, Salesforce, and PEG.
. Build, optimize, and maintain scalable data pipelines and data models leveraging Hadoop, Spark, SAS, and AWS services including S3, Athena, EMR, and EC2.
. Deliver actionable insights that support customer focused strategies across RBB and Insurance domains.
. Translate complex datasets into clear, compelling outputs tailored for both technical and non technical stakeholders.
. Collaborate cross functionally with product, business, and technology teams to ensure alignment with business objectives and customer outcomes.
. Ensure compliance and governance across all data engineering and analytical activities.
. Manage internal and external stakeholder relationships, ensuring transparency, accuracy, and timely delivery of analytical outputs.
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Required Skills & Experience
. 6+ years of hands on experience with data engineering tools and programming languages, including:
o Hadoop, SQL, Spark, SAS
o AWS services: S3, Athena, EMR, EC2
. Advanced knowledge of Appian, Salesforce, and PEG platforms.
. Strong understanding of banking and insurance domains, including Products, Channels, Segments, and Data ecosystems.
. Deep knowledge of customer behaviour and key drivers of customer decision making.
. Proven track record of delivering high quality analysis that leads to measurable business outcomes.
. Exceptional problem solving, analytical, and critical thinking skills.
. Advanced proficiency in MS Office Suite, especially Excel and PowerPoint, for data presentation and storytelling.
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Preferred Qualifications
. Experience working in large scale financial institutions.
. Exposure to machine learning or advanced analytics.
. Knowledge of data governance, data quality, and regulatory frameworks.

Solution Design Engineer