We are seeking an experienced Sr Data Engineer to oversee the development and utilization of data systems. You will be reporting to the Sr. Manager – Data Engineering, to join our dynamic team in the Foreign Exchange payments processing industry. The ideal candidate is responsible for defining and implementing the data ETL pipelines and models and ensuring robust data governance across the organization. This role requires a deep understanding of business processes, technology, data management, and regulatory compliance. The successful candidate will work closely with business and IT leaders to ensure that the enterprise data platform supports business goals, and that data governance policies and standards are adhered to across the organization. Your responsibilities will include working closely with product managers, data architects, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various sources, and ensuring data availability for various application and reporting needs.  

In your role as a Sr Data Engineer, you will: 

  • Lead a team of data and cloud engineers and be hands on in design and implementation and well-versed in development and deploying solutions on AWS platform using CloudFormation (IaaS), Glue (Pyspark), Lambda, CodePipeline, Step Functions, S3, RDS, Athena, Quicksight, Sagemaker, SQS, SNS 
  • Designed and implemented a real-time prediction service integrated with the CRM system for new requirements arriving in the system using AWS services 
  • Productionized automated infrastructure DevOps for cloud and on-prem using Ansible, Puppet, and CloudFormation 
  • Deployed and managed multi-node MapR/Hadoop cluster with different components (MFS, NFS, CLDB, Webserver, Spark, Resource Manager, Node Manager, Hue, Oozie, Hive, HBase, Zookeeper, History Server, Drill) 
  • Designed and developed ETL/ELT procedures, created mappings and sessions for data conversion and loading 
  • Implemented data transformation and processing solutions using Bigdata platform tools like MapR, Document database, HBase, Spark 
  • You will be a part of a team of Cloud Data engineers and your responsibility will be to Lead a team of cloud data engineers and be hands on in design and implementation.  
  • Proactive position in solution development, processes improvements 
  • Taking part in the decision-making process in design architecture, solution development,  
    architectural and code review;  
  •  Data cloud engineering responsibilities like, Data modelling, database schema design in AWS, and python scripting within AWS. Also event-based data handling with S3 buckets. 
  • Transform into new schema, Index into Elastic search etc..  
  • Direct Collaboration with customer's Architects, leads and engineers to align on exact solution requirements  
  • Collaborate with PM, PO, other engineers, architects, QA and other colleagues and  
    stakeholders 
  • Participation on delivering the product roadmap, plannings, creation of estimations 
  • To deliver high quality data and cloud engineering deliverables and guide team with best  
    practices to be highly performant.  
  • Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp, and elegant engineering output. 

 A successful candidate for this position should have: 

  • 10+ years of experience as a Cloud Data Engineer with proficiency in programming languages such as Python, Java, or Scala, with a focus on data processing frameworks (e.g., Apache Spark, Kafka) 
  • Strong cloud data engineering experience in large software development projects  
  • Strong experience with data architecture principles, including data modelling, ETL/ELT processes, and data management and hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka 
  •  Hands-on experience with AWS and good knowledge of its sub-components and services as a plus  
  • Strong in SQL, Redshift, Athena, Data modeling, Elasticsearch  
  • Cloudformation and/or Terraform  
  • Experience with data warehouses  
  • Experience with Agile projects in product development by following Agile Development  
    methodologies using SPRINT, SCRUM, and Continuous Integration  
  • Experienced understanding of Software Development Lifecycle  
  • Excellent communication and collaboration skills  
  • Ability to multi-task, prioritize and execute tasks in a fast-paced environment  
  • Strong sense of ownership and responsibility of deliverables  
  • Great team ethics and collaboration skill for internationally distributed and remote work with the team 

Nice to have Qualifications: 

  • Experience with regulatory compliance related to data management (e.g., GDPR, HIPAA). 
  • Knowledge of emerging technologies such as AI, machine learning, and data analytics. 
  • Certifications in cloud platforms (e.g., AWS). 

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