Senior Data Architect
2 weeks ago
At Genpact, we are committed to delivering outcomes that shape the future. Our team of experts is driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. As a Principal Consultant- Senior Data Engineer, you will play a key role in our mission to 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.
Responsibilities
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong understanding of data structures and algorithms, solution and technical design, and a proven ability to influence and communicate effectively with team members and business stakeholders.
Key Responsibilities:
- Design and build reusable components, frameworks, and libraries at scale to support analytics products
- Design and implement product features in collaboration with business and technology stakeholders
- Identify and solve issues concerning data management to improve data quality
- Clean, prepare, and optimize data for ingestion and consumption
- Collaborate on the implementation of new data management projects and restructuring of the current data architecture
- Implement automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development, and production deployment frameworks
- Analyze and profile data for designing scalable solutions
- Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
Requirements
We are looking for candidates with a strong background in data engineering, cloud scalability, and real-time data solutions. The ideal candidate will have hands-on experience in Databricks and AWS, including EMR, Hive, PySpark, S3, Athena, and Spark Structured Streaming. Additionally, experience working with Hadoop stack, SQL, ETL, data transformation, and analytics functions, as well as batch orchestration tools like Apache Airflow, is required.
Preferred Qualifications
Candidates with experience working in Agile environments and familiarity with deployment automation tools like Jenkins will be given preference.
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