Data Engineering Expert with Cloud Focus
3 days ago
RapidBrains is seeking a highly skilled Data Engineering Expert to design and develop robust data pipelines, real-time processing solutions, and scalable ETL processes.
With a strong focus on cloud platforms, the ideal candidate will have experience with Azure Data tools, Hadoop, and Kafka.
This role involves collaborating with cross-functional teams to implement data-driven solutions, maintain high-quality data infrastructure, and mentor junior engineers.
The successful candidate will have expertise in Snowflake, Redshift, BigQuery, or Synapse, as well as hands-on experience with Apache Spark, Databricks, and batch/real-time data processing.
A strong analytical mindset, attention to detail, and problem-solving ability are essential for this role.
The estimated salary range for this position is $120,000 - $180,000 per year, depending on experience and qualifications.
Responsibilities- Design, develop, and maintain scalable data pipelines and ETL processes.
- Implement real-time data processing solutions using technologies like Apache Kafka, Flink, or Spark Streaming.
- Collaborate with data scientists, analysts, and product managers to translate business requirements into technical solutions.
- Lead technical design sessions, code reviews, and ensure adherence to best practices.
- Troubleshoot and resolve data pipeline, ETL process, and infrastructure issues.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum 5 years of experience in data engineering with proven expertise in complex data systems.
- Strong experience with data lakes, data warehouses, and cloud platforms.
- Familiarity with data orchestration tools (Airflow, Prefect, ADF).
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