Aws Data Engineer (Databricks)

We are seeking a highly skilled AWS Data Engineer who is also comfortable performing analysis tasks. This role requires strong expertise in AWS, Databricks, Python, SQL, and Snowflake. You will play a key role in designing and implementing scalable data solutions while working closely with cross-functional teams to derive valuable insights from data. If you enjoy the blend of engineering and analysis, this position is perfect for you!
Key Responsibilities: Design, develop, and maintain scalable data pipelines and infrastructure on AWS.Work with Databricks to process, cleanse, and verify the integrity of data used for analysis.Build and optimise data models on Snowflake for performance and scalability.Write complex SQL queries to extract, manipulate, and analyse data.Collaborate with data analysts and data scientists to deliver actionable insights.Ensure data quality, security, and governance throughout the data lifecycle.Troubleshoot and optimise performance of existing data systems and processes.Qualifications: At least 5+ years of proven experience as a Data Engineer with strong expertise in AWS (Lambda, S3, EC2, Redshift, etc.).Proficiency in Databricks for data processing and transformation.Strong programming skills in Python.Expertise in SQL for querying large datasets.Experience with Snowflake as a data warehousing solution.Willingness to take on data analysis tasks as required.Familiarity with data governance and security best practices.Strong problem-solving and communication skills.Experience working in complex environments, particularly in banking or financial services sectors.
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