Senior Data Engineer

3 weeks ago

gurgaon, India NCR Voyix Full time
About NCR Voyix Corporation
NCR Voyix (NYSE: VYX) is a global technology company leading how the world connects, interacts and transacts with business. NCR Voyix’s assisted and self-service solutions and comprehensive support services address the needs of retail & restaurants organizations in more than 100 countries. NCR Voyix (
is headquartered in Atlanta, Georgia, USA.
Position Summary & Key Areas of Responsibility
We are looking for a passionate professional who can blend the fast-changing technology landscape of Cloud based Big Data & Advanced Analytics. The Senior Big Data Engineer is responsible for partnering with business unit leaders within NCR Voyix to analyze, design, and deliver data products that enable NCR Voyix’s business. You will evaluate business questions, find the right data sets, ensure cleanliness of the data, and build scalable and clean data pipelines that can be deployed in a production environment. Along the way, you’ll partner with our Azure Infrastructure, Visualization, Advanced Analytics and Engineering teams consistently deliver quality data products.
Basic Qualifications
Bachelor’s degree in computer science or related fieldMust have minimum of 6 years of overall Technology experience with at least 3 years of Big Data (Databricks, Data Lake, Azure (Synapse)) experience.Experience with medium to large scale Data lakes is highly desired.Develop and maintain scalable data pipelines and workflows.Experience with relational databases, including Advanced SQL queries, database definition and schema design,Must have experience on Streaming technologies (Kafka, Spark structured streaming, Streaming Analytics, Eventhubs)Must have experience in Spark or Databricks either for streaming or batch processing.Proficient in PySpark and Python for data processing and analysis.Ability to work with server/serverless database.Experience with ETL technologies like Azure Data Factory, Logic Apps is desired.Ability to work in a fast-paced environment with an open mind.Experience working with data preparation, Data analysis and data quality.Good understanding of data governance.Embraces agile development principles (SAFe)Ability to clearly communicate data topics at an executive level.Ability to drive design and lead technical discussions with multiple teams.Ability to coordinate across multiple teams to solve complex problems.

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