Data Engineering Lead
4 days ago
We are seeking an experienced Data Engineering Lead to join our team at UARROW PTE. LTD.
About the RoleThis is a senior leadership position that requires strong technical expertise in Big Data technologies, including Hadoop, Spark, and PySpark. The successful candidate will lead the design, development, and maintenance of scalable data pipelines and analytics platforms.
Key Responsibilities- Design and develop large-scale data pipelines using Hadoop, Spark, and PySpark.
- Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.
- Develop streaming data solutions with Apache Kafka.
- Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.
- Perform data validation, quality checks, and recon reports to ensure high data accuracy.
- Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.
- Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.
- Optimize performance and scalability for data processing and storage systems.
- Provide mentorship to team members and support in troubleshooting and debugging complex data issues.
- Strong experience with Big Data ecosystems, Spark, Hadoop, and related technologies.
- Proficiency in PySpark, data transformation, and aggregation techniques.
- Hands-on experience with AWS services and cloud-native data pipelines.
- Solid understanding of SQL, RDBMS, and data integration tools.
- Expertise in Java/J2EE frameworks and application development.
- Strong communication and problem-solving skills.
The estimated salary range for this position is $120,000 - $180,000 per year, depending on location and experience.
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