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Principal Consultant

3 months ago

Bengaluru, India Genpact Full time

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 Principal Consultant-Senior Data Engineer -SRE
Include optimizing data pipelines, ensuring data integrity and consistency, enhancing system resiliency where applicable, maintaining and improving data security, proactive alerting, and monitoring for data pipelines, and automating repetitive data-oriented tasks.
Responsibilities
• Automate data tasks on GCP.
• Work with data domain owners, data scientists and other stakeholders to that data is consumed effectively on GCP.
• Design, build, secure and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP.
• Measure and monitor the quality of data on GCP data platforms.
• Implement robust monitoring and alerting systems to proactively identify and resolve issues in data systems. Respond to incidents promptly to minimize downtime and data loss.
• Develop automation scripts and tools to streamline data operations and make them scalable to ensure accommodate growing data volumes and user traffic.
• Optimize data systems to ensure efficient data processing, reduce latency, and improve overall system performance.
• Collaborate with data and infrastructure teams to forecast data growth and plan for future capacity requirements.
• Ensure data security and compliance with data protection regulations. Implement best practices for data access controls and encryption.
• Collaborate with data engineers, data scientists, and software engineers to understand data requirements, troubleshoot issues, and support data-driven initiatives.
• Continuously assess and improve data infrastructure and data processes to enhance reliability, efficiency, and performance.
• Maintain clear and up-to-date documentation related to data systems, configurations, and standard operating procedures.
 
Qualifications we seek in you
Minimum Qualifications / Skills
• Bachelor’s or master’s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience
 
Preferred Qualifications/ Skills
• Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).
• Strong programming skills in languages like Python (numpy, pandas, pyspark), Java (Core Java, Spark with Java, functional interface, lambda, java collections), or Scala, with experience in automation and scripting.
• Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
• Experience with data governance(data plex), data security, and compliance best practices on GCP.
• Solid understanding of software development methodologies and best practices, including version control (e.g., Git) and CI/CD pipelines.
• Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform.
• Experience with data quality assurance and testing on GCP.
• Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage).
• Strong understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
• Knowledge of AI and ML tools is a plus.
• Google Associate Cloud Engineer or Data Engineer certification is a plus.
• Experience in data engineering or data science on GCP.