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Job Description
Structured overview of role & requirementsAbout This Role
Lead data engineering projects using Azure and AWS platforms focusing on data modernization and scalable data integration.
Manage and optimize data pipelines and data warehouses ensuring data quality, security, and performance tuning.
Mentor and develop team members, oversee project delivery on time and within scope, and align data strategies with business objectives.
Minimum Requirements
Bachelor's degree required.
10+ years of experience with Azure ADLS, Databricks, Data Flows, HDInsight, Azure Analysis Services.
Mandatory experience with Hadoop and Spark, and expertise in extracting data from diverse sources like flat files, XML, JSON, Parquet, and RDBMS.
Experience in team management and understanding of data warehouse lifecycle with contributions to design documents and test plans.
Ideal Candidate Profile
Strong expertise in cloud platforms Azure and AWS combined with data engineering toolsets like Apache Airflow, Databricks, and Snowflake.
Experience in leading data modernization and transformation projects with ability to coach teams in innovative data engineering practices.
Background preferably in technical or engineering disciplines such as Computer Science, Systems Engineering, or related quantitative fields indicating a strategic fit for complex data architecture roles.