Data Engineer

Data Engineer II

Location Miami- Hybrid schedule, 3 days a week in the office and 2 days working remotely

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.

AWS Glue, Lambda, S3, EC2, CloudWatch, Cloud Trail.

Dbt, Snowflake, SQL, Python, Qlik.

Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.

Experience with NoSQL databases, such as MongoDB, Cassandra, or DynamoDB, and an understanding of their appropriate use cases.

Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop).

Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.

Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.

Familiarity with data orchestration tools, such as Apache Airflow for scheduling and managing data workflows.

Experience with data versioning and testing tools, such as DVC (Data Version Control) and dbt (data build tool).

Understanding of data security practices, including encryption, access controls, and data masking.