Senior Data Engineer
Atlanta, Georgia (675 Ponce De Leon Ave NE)
Mastercard
Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Senior Data EngineerOverviewInterested in building the next generation platform that handles petabytes of data and powers data insight creation using cutting edge data science technology? Excited about using Big Data, AI/Machine Learning and Data Analytics to deliver actionable insights? We are a dynamic team of top-notch engineers who are committed to make a dent in the FinTech universe.
The Marketing Services (MS) Technology team is looking for a Senior Data Engineer who is passionate about data and analytics, highly motivated and can take technical ownership of data solutions with an emphasis on engineering efficiency and on-time delivery.
The ideal candidate is exposed to the fast-paced world of Big Data technology and has experience in building data solutions using new and emerging technologies while maintaining stability of the platform. The person will get a chance to work with diverse datasets and be on the cutting edge of transforming the way Mastercard captures, processes, stores and visualizes data.
In this role, you will:
• Develop batch and streaming solutions using various Big Data technologies
• Be responsible for assessing technologies and approaches for ingestion, transformation and storage
• Develop software utilizing open source technologies to interface with distributed and relational data sources
• Work closely with team members from across Mastercard to identify functional and system requirements
All About you
The ideal candidate for this position should:
• Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka etc.
• Be skilled at explaining technical problems succinctly and clearly
• Have experience working with real-time or near real-time ingestion
• Always look for potential solutions to solve problems
• Have strong programming knowledge in Java , Scala or Python.
• Proven track record of delivering software projects and willingness to roll up sleeves to get the job done
• Have excellent oral and written communication
• Be familiar with Agile/Scrum methodologies
• Have demonstrated ability to adapt to new technologies and learn quickly
• Have a BS/BA degree in Computer Science, Information Systems or related field
#LI-TE1In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Computer Science Data Analytics Engineering FinTech Hadoop Java Kafka Machine Learning Open Source Python Scala Scrum Security Spark Streaming
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Salary bonus Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Principal Data Engineer jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Manager jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Power BI Developer jobs
- Open Principal Data Scientist jobs
- Open Senior Manager, Data Science jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Lead Machine Learning Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Data Engineering Manager jobs
- Open Business Intelligence Developer jobs
- Open Clinical Data Manager jobs
- Open Head of Data jobs
- Open Data pipelines-related jobs
- Open Privacy-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Snowflake-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open NLP-related jobs
- Open Scala-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Git-related jobs
- Open Kafka-related jobs
- Open Docker-related jobs