Data Engineer

Our client, a real estate company in Miami, FL, is in need of a Data Engineer for a three-month contract-to-hire position. Working in a hybrid model, three days/week onsite, the Data Engineer will be responsible for analyzing large amounts of business data, solving real world problems, and developing metrics and business cases by leveraging data from various platforms such as Jira, Portal, Salesforce.

Responsilbilties:

• Design, implement and support an analytical data infrastructure and working knowledge of Modern Data Warehouse concepts
• Design, build, and maintain efficient and scalable data pipelines and ETL processes to process large volumes of structured and unstructured data
• Optimize data storage and retrieval methods to ensure performance, scalability, and cost-efficiency
• Manage AWS resources including EC2, S3, Glue, Lambda, API's, IAM, Cloud Watch etc.
• Write advanced SQL queries and Python code to develop solutions

Required skills:

• 3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions
• AWS Glue, Lambda, S3, EC2, Cloud Watch, 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 No
  
  SQL 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, Google Cloud Platform) and data services, such as AWS Redshift, Azure Synapse, or Google Big Query
• Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.

Clear Bridge Technology Group is an Equal Opportunity Employer.
We offer excellent benefits and compensation packages.
The expected hourly rate range for this role is $47-67 per hour.
The posted range is an estimate, the actual compensation offer will be based on the candidate's experience, skills, qualifications and will be in line with internal equity.