Cloud Data Engineer

Industry: Other
Company size: 51-250

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Job description

A national leader in rewards programs and loyalty solutions is looking for a Cloud Data Engineer. The engineer will be responsible for designing and developing cloud-scale data lakes. The candidate is expected to have significant experience ingesting disparate data sources, managing dataflows, and processing data into a data lakehouse environment. The company aids retail operators in building their brands, optimizing retail operations, and rewarding their customers with a suite of marketing solutions. Data engineers who are excellent at problem-solving, good at systems thinking, and can work with disparate systems to deliver quality data lakehouses, are well-suited for this position.


Job Responsibilities:

  • Design and build production data pipelines for ingesting consumptions in a big data architecture
  • Work with various AWS tools like Spark (PySpark), Glue, Hudi, Kinesis, DMS, EMR, and Lambdas for processing data.
  • Develop a Data lake on S3 with landing, raw, trusted, and curated zones
  • Configure AWS Redshift / Redshift Spectrum Data LakeHouse
  • Work on automating processes and infrastructure using Python CDK.

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 8 years of relevant experience in data engineering 
  • Experience in working with Apache Spark RDDs and building data frames along with the ability to create Spark jobs for data transformation and aggregation
  • Must be able to work withlue, PySpark, Kinesis, DMS, EMR, and Lambda
  • Knowledge of Kubernetes (EKS), AWS, Kinesis, Istio, and Jaegar is essential
  • Must possess an expertise to work with Python, Redshift/Redshift Spectrum, Athena, and also SQL
  • Understanding how to work with various file formats like Hudi, Parquet, Avro, ORC for large volumes of data
  • Experience in working with NoSQL databases like Cassandra, DocumentDB, DynamoDB is a plus
  • Should be well-versed with data warehousing, data lakes, and the data lakehouse concepts
  • Deep understanding of Git, Gitflow based workflows, and CI/CD
  • Well-versed with modern engineering best practices and design principles
  • Must have excellent communication, presentation, strongly analytical, and problem-solving skills

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