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We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, the candidate will leverage deep technical knowledge and will apply knowledge of data architecture standards, data warehousing, data structures, and business intelligence to drive the creation of high-quality data products for data driven decision making.
Job Responsibility:
Solving business problems through innovation and engineering practices
Drive the creation of high-quality data products for data-driven decision making
Requirements:
3-6 Years Experience of implementing data-intensive solutions using agile methodologies
Code contributing member of Agile teams, working to deliver sprint goals
Write clean, efficient, and maintainable code that meets the highest standards of quality
Very strong in coding Python/Pyspark, UNIX shell scripting
Experience in cloud native technologies and patterns
Ability to automate and streamline the build, test and deployment of data pipelines
Nice to have:
Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls, framework libraries like Deequ
Federated Query: Starburst, Trino
Containerization: Fair understanding of containerization platforms like Docker, Kubernetes, Openshift
File Formats: Exposure in working on File/Table Formats such as Avro, Parquet, Iceberg, Delta
Schedulers: Basics of Job scheduler like Autosys, Airflow
Cloud: Experience in cloud native technologies and patterns (AWS, Google Cloud)
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