Lead Consultant- Data Engineer
2 weeks ago
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Lead Consultant - Data Engineer
Design and develop data warehouses and data marts to support data analysis and reporting.
Responsibilities
• Overall experience on Apache Spark, SQL, DBT, Databricks, Hive, HDFS, Airflow, Kafka required.
• Develop SQL based data processing pipelines which includes, but not limited, SQL
functions, tables, and views.
• Implement defined technology best practices and guidelines.
• Create data validation rules on source data to confirm the data has correct and/or
expected values.
• Perform data profiling of source data to identify data quality issues and anomalies,
business knowledge embedded in data, gathering of natural keys, and metadata
information.
• Leverage Databricks to optimize and accelerate processing and analytics tasks.
• Collaborate with Databricks Administrators and Platform engineers to ensure optimal
performance of data processing pipelines executed on Databricks.
• Implement data quality rules and data governance policies to ensure data accuracy and
consistency.
• Develop Azure Databricks data engineering tasks.
Qualifications we seek
Minimum Qualifications
• Bachelor’s degree in computer science or related field.
• Relevant professional experience.
• Strong SQL skills for data manipulation and query optimization
• Experience in data integration and data quality
• Knowledge of data warehouse architectures, design patterns, and performance tuning
techniques
• Hands on experience on unified data analytics platform with Azure Databricks,
Databricks Workspace user interface, managing Notebooks which use Delta Lake.
• Basic experience with version control – git system.
• Knowledge and experience of Data Build Tool (dbt) or Databricks Delta Live Table is a
huge plus.
• Knowledge on Azure cloud platform.
• Knowledge of Visual Studio Code development is a huge plus.
• Experience with Power BI or other BI reporting tools is a plus.
Preferred Qualification/skills
Professional Competencies
• Customer/Stakeholder Focus
• Functional/Technical skills
• Written/Oral Communication
• Ability to adapt to different priorities and assignments quickly
• Team player with strong Communication skills
• Excellent analytical and problem-solving skill
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