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AWS Data Engineer

Incedo IncAustin, TX🇺🇸United States

Why this role stands out

Leverage your extensive AWS and PySpark expertise to design and build robust data pipelines in a hybrid environment that offers excellent flexibility. This mid-senior role is perfect for a data engineer passionate about cloud technologies and eager to contribute to impactful projects within a reputable company.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationAustin, TX, United States
DockerSQLAWSETLScrumSnowflakeAgileAirflowApacheApache SparkCloudFormationDatabricksGitKafkaKubernetesPythonRedshiftTerraform

Job description

  • 6–10+ years of experience in Data Engineering / Big Data Engineering.
  • Strong hands-on experience with AWS cloud services.
  • Strong programming experience in Python.
  • Hands-on experience with PySpark / Apache Spark.
  • Strong SQL development and database skills.
  • Experience developing ETL/ELT data pipelines.
  • Experience with AWS Glue, S3, Lambda, EMR, RDS, Redshift, and CloudWatch.
  • Experience with Apache Kafka or Confluent Kafka.
  • Experience with Apache Airflow or another workflow orchestration platform.
  • Strong understanding of data modeling, data warehousing, and distributed data processing.
  • Experience working with Parquet, JSON, Avro, and other data formats.
  • Experience with Git and CI/CD practices.
  • Good understanding of AWS security, IAM, networking, and cloud architecture.

Preferred Skills

  • Experience in the financial services / wealth management / banking domain.
  • Experience working with Snowflake or Databricks.
  • Experience with AWS OpenSearch / Elasticsearch.
  • Experience with Terraform or CloudFormation.
  • Experience with Docker/Kubernetes.
  • Experience with AWS monitoring and observability tools.
  • Knowledge of data governance, lineage, metadata management, and data quality frameworks.
  • Experience working in Agile/Scrum development environments.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred.

Ideal Candidate

The ideal candidate is a strong AWS Data Engineer with hands-on experience building scalable batch and streaming data pipelines using Python, PySpark, Spark, Kafka, AWS Glue, S3, EMR, Lambda, and SQL. Experience within financial services or wealth management and exposure to modern cloud data platforms will be highly valued.

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