Data Engineer II
Steneral Consulting · Miami, FL · 1 mo ago
On-siteInformation TechnologyFull-time
Location & Schedule
Miami – Hybrid schedule: 3 days a week in the office and 2 days working remotely.
Duration
6+ months, contract‑to‑hire (C2H).
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.
- Experience with AWS services: Glue, Lambda, S3, EC2, CloudWatch, CloudTrail.
- Proficiency with dbt, Snowflake, SQL, Python, and Qlik.
- Strong SQL skills: ability to write complex queries, perform query optimization, and conduct performance tuning.
- Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB, and understanding of 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.