Urgent! MatchMove - Data Engineer - Numpy/Pandas Job Opening In India, India – Now Hiring MatchMove
<p><p><b>You will get to :</b></p><p><br/></p><p>- Design, build, and maintain high-performance data pipelines that integrate large-scale transactional data from our payments platform, ensuring data quality, reliability, and compliance with regulatory requirements.<br/><br/></p><p>- Develop and manage distributed data processing pipelines for both high-volume data streams and batch processing workflows in a cloud-native AWS environment.<br/><br/></p><p>- Implement observability and monitoring tools to ensure the reliability and scalability of the data platform, enabling stakeholders to make confident, data-driven decisions.<br/><br/></p><p>- Collaborate with cross-functional teams to gather requirements and deliver business-critical data solutions, including automation of payment transactions lifecycle management, regulatory reporting, and compliance.<br/><br/></p><p>- Design and implement data models across various storage paradigms to support payment transactions at scale while ensuring efficient data ingestion, transformation, and storage.<br/><br/></p><p>- Maintain data integrity by implementing robust validation, testing, and error-handling mechanisms within data workflows.<br/><br/></p><p>- Ensure that the data platform adheres to the highest standards for security, privacy, and governance.<br/><br/></p><p>- Provide mentorship and guidance to junior engineers, driving innovation, best practices, and continuous improvement across the :</b></p><p><br/></p>- 4-6 years of experience in backend development and/or data platform engineering.<br/><br/></p><p>- Proficiency in Python, with hands-on experience using data-focused libraries such as NumPy, Pandas, </p><p>SQLAlchemy, and Pandera to build high-quality data pipelines.<br/><br/></p><p>- Strong expertise in AWS services (S3, Redshift, Lambda, Glue, Kinesis, etc.) for cloud-based data infrastructure and processing.<br/><br/></p><p>- Experience with multiple data storage models, including relational, columnar, and time-series databases.<br/><br/></p><p>- Proven ability to design and implement scalable, reliable, and high-performance data workflows, ensuring data integrity, performance, and availability.<br/><br/></p><p>- Experience with workflow orchestrators such as Apache Airflow or Argo Workflows for scheduling and automating data pipelines.<br/><br/></p><p>- Familiarity with Python-based data stack tools like DBT, Dask, Ray, Modin, and Pandas for distributed data processing.<br/><br/></p><p>- Hands-on experience with data ingestion, cataloging, and change-data-capture (CDC) tools.<br/><br/></p><p>- Understanding of DataOps and DevSecOps practices to ensure secure and efficient data pipeline development and deployment.<br/><br/></p><p>- Strong collaboration, communication, and problem-solving skills, with the ability to work effectively </p><p>across multiple teams and geographies.<br/><br/></p><p>- Experience in payments or fintech platforms is a strong plus, particularly in processing high volumes of transactional data.</p><br/></p> (ref:hirist.tech)
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Unlock Your MatchMove Data Potential: Insight & Career Growth Guide
Real-time MatchMove Data Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MatchMove Data in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 147100 jobs in India and 10256 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in MatchMove Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! MatchMove is currently hiring and seeking a MatchMove Data Engineer Numpy/Pandas to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MatchMove adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MatchMove Data Engineer Numpy/Pandas Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for MatchMove Data Engineer Numpy/Pandas typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your MatchMove Data Engineer Numpy/Pandas interview at MatchMove, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MatchMove's products or services and be prepared to discuss how you can contribute to their success.
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