5 years

5 - 6 Lacs

Posted:3 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Summary

As a Sr. Developer you will play a pivotal role in optimizing and enhancing our data processing capabilities using PySpark and AWS technologies. Your expertise in Python and domain knowledge in Cards & Payments will drive impactful solutions. This hybrid role offers the flexibility of day shifts ensuring a balanced work-life integration.


Responsibilities

  • Optimize Pyspark applications to improve performance and resource utilization ensuring efficient data processing and analysis.
  • Develop and maintain scalable solutions using AWS EC2 and AWS EMR to support business needs and data-driven decision-making.
  • Implement PySpark frameworks to process large datasets enhancing data accessibility and insights for stakeholders.
  • Collaborate with cross-functional teams to design and deploy robust data pipelines ensuring seamless integration with existing systems.
  • Utilize Python programming to automate tasks and streamline workflows contributing to increased productivity and reduced operational costs.
  • Analyze and interpret data within the Cards & Payments domain providing actionable insights to drive strategic initiatives.
  • Ensure data security and compliance with industry standards safeguarding sensitive information and maintaining trust with clients.
  • Troubleshoot and resolve technical issues related to Pyspark and AWS environments minimizing downtime and optimizing system performance.
  • Participate in code reviews and provide constructive feedback to peers fostering a culture of continuous improvement and innovation.
  • Document technical processes and solutions creating comprehensive guides for future reference and knowledge sharing.
  • Stay updated with the latest advancements in PSpark and AWS technologies applying new techniques to enhance project outcomes.
  • Engage in collaborative problem-solving sessions contributing to the development of creative solutions for complex challenges.
  • Support the team in achieving project milestones and deliverables ensuring alignment with organizational goals and objectives.


Qualifications

  • Demonstrate proficiency in Spark Optimization techniques showcasing the ability to enhance data processing efficiency.
  • Exhibit strong experience with AWS EC2 and AWS EMR highlighting expertise in cloud-based solutions and infrastructure management.
  • Possess advanced skills in Apache Spark demonstrating capability in handling large-scale data processing tasks.
  • Showcase expertise in Python programming emphasizing ability to automate processes and develop efficient solutions.
  • Have domain knowledge in Cards & Payments providing insights and understanding of industry-specific challenges and opportunities.
  • Display a minimum of 5 years of relevant experience ensuring a solid foundation in technical and domain skills.
  • Present a maximum of 8 years of experience indicating a balance of expertise and adaptability in evolving technologies.

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