Big Data Developer
DataFlix Inc.
Irvine, United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Amazon Web Services
Microsoft Azure
Big Data
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Distributed Systems
Apache Hadoop
Apache Hive
Python (Programming Language)
Performance Tuning
+10 more
DataOps
SQL Databases
Unstructured Data
Data Processing
Google Cloud
Data Ingestion
Apache Spark
Software Troubleshooting
Apache Kafka
Data Pipelines
Job description
- Design, develop, and maintain scalable data pipelines.
- Process and transform large volumes of structured and unstructured data.
- Develop data ingestion, ETL, and batch/streaming solutions.
- Optimize data processing performance and reliability.
- Collaborate with data architects, analysts, and business stakeholders.
- Ensure data quality, governance, and security standards.
Requirements
We are seeking a skilled Big Data Developer with expertise in building scalable data pipelines and processing large datasets. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and data engineering best practices., * 8-10 years of experience in Data Engineering or Big Data development.
- Strong experience with Hadoop, Spark, Hive, Kafka, and SQL.
- Hands-on experience with Python, Scala, or Java.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of data warehousing and distributed computing concepts.
- Strong troubleshooting and performance tuning skills.
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