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# Sr Data Engineer

- **Company:** Akaasa Technologies
- **Location:** Davie, FL, United States
- **Experience:** Expert
- **Salary:** $170,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Batch Processing, Big Data, Cloud Storage, Information Engineering, Data Warehousing, Software Debugging, Distributed Computing Environment, Python (Programming Language), SQL Databases, Database Engines, Google Cloud, Data Storage Technologies, Delivery Pipeline, Apache Spark, Caching, Pyspark, Semi-structured Data, Low Latency, Apache Flink, Apache Kafka, Functional Programming, Stream Processing, Data Pipelines, Databricks, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/jobad/usd357f82d3dc47a8d1fe5818a2e72364e

## About the Role

Ability to lead, mentor, and guide a team of data engineers, ensuring best practices in coding, architecture, and deployment. In addition, high people management skills that encourage professional growth and foster a culture of learning and collaboration.
Data Engineering skills
Experience in building and maintaining an enterprise Data Lakes and\or Data Warehouses.
Design and implementation of data pipelines that handle both structured and semi-structured data.
Deep understanding in one of the cloud platforms (e.g., AWS, Azure, GCP) and their associated data storage and compute solutions (e.g., Amazon S3, Azure Blob Storage, Databricks, EC2, Lambda). Strong experience in managing cloud resources and scaling them based on workloads.
hands-on experience with big data frameworks like Apache Spark and Flink. Ability to architect and optimize distributed data processing frameworks for high-throughput and low-latency workloads.
Expertise in real-time data processing using technologies such as Apache Kafka, Apache Flink, and low latency Database engines. Able to design and manage real-time streaming pipelines and integration with batch processing frameworks.
Desired Skills
Experience in Building Delta Lakehouse solution using Databricks.
Advanced skills in optimizing Apache Spark for performance at scale, including fine-tuning Spark configurations, caching strategies, partitioning, and debugging slow-running jobs.
Programming Languages
Python, Java (a plus) and SQL. Strong knowledge of data libraries and frameworks (e.g., PySpark .. ) and the ability to implement custom solutions for data transformations, batch jobs, and pipeline automation.



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