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Genpact Hiring For AWS data engineer with Kafka, Spark

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 Genpact Hiring For AWS data engineer with Kafka, Spark

Job Description

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, AWS+Python, Spark, Kafka for ETL!

Responsibilities

  • Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka.
  • Integrate structured and unstructured data from various data sources into data lakes and data warehouses.
  • Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift)
  • Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness.
  • Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms.
  • Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost
  • Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc.
  • Build data pipelines by building ETL processes (Extract-Transform-Load)
  • Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data.
  • Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs
  • Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements
  • Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems
  • Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security
  • Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way
  • Coordinate with release management, other supporting teams to deploy changes in production environment

Qualifications we seek in you!

Minimum Qualifications

  • Experience in designing, implementing data pipelines, build data applications, data migration on AWS
  • Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift
  • Experience of Databricks will be added advantage
  • Strong experience in Python and SQL
  • Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift.
  • Advanced programming skills in Python for data processing and automation.
  • Hands-on experience with Apache Spark for large-scale data processing.
  • Experience with Apache Kafka for real-time data streaming and event processing.
  • Proficiency in SQL for data querying and transformation.
  • Strong understanding of security principles and best practices for cloud-based environments.
  • Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
  • Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications/ Skills

  • Masters Degree-Computer Science, Electronics, Electrical.
  • AWS Data Engineering & Cloud certifications, Databricks certifications
  • Experience with multiple data integration technologies and cloud platforms
  • Knowledge of Change & Incident Management process

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Genpact
Location(s): Hyderabad

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Keyskills:   Kafka Spark Aws Glue AWS Python Pyspark Aws Cloud Aws Lambda Dynamo Db Hadoop SCALA aws redshift

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