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Big Data Solutions Specialist
2 weeks ago
The Role requires expertise in designing, developing, and implementing data pipelines for batch and real-time/stream processing. We are looking for a skilled individual with a strong background in Big Data Engineering and experience working with cross-functional teams.
- Collaborate with business stakeholders to translate requirements into data solutions.
- Design and implement data pipelines using Hadoop, Hive, Iceberg, Spark, and other Big Data technologies.
- Troubleshoot and resolve issues across a complex multi-technology landscape.
- Perform performance tuning and optimization on data pipelines within the Big Data Ecosystem.
- Drive initiatives for optimization and resiliency employing automation.
Requirements:
- A degree in Computer Science, Information Technology, or a related field.
- At least 3 years of hands-on experience in Big Data Engineering within the banking domain.
- Expert knowledge Operationalizing data pipeline on Hadoop, Hive, Iceberg, Spark.
- Strong knowledge of Translating Business Requirements to Spark and SparkSQL.
- Working Experience with pySpark, Kafka, Spark Streaming, Flink.
- Proficiency in Unix Shell scripting Python scripting and Python Frameworks for automation.
- Proficient in Dev Ops Process and Orchestration Tools.
- Experience in deploying applications on containers.
- Experience operationalizing data pipelines on Cloud platforms (Azure, Google, AWS) is a plus.
We offer an opportunity to work on cutting-edge projects that transform the way we deliver financial services. You will join a collaborative team that values creativity, innovation, and continuous learning. This role offers a chance to develop your skills and expertise in Big Data Engineering.