Data Engineer IV
3 months ago
Must have skills :
- Minimum of 5-7 years of experience in software development, with a focus on Java and infrastructure tools.
- Min 6+ years of experience as a Data Engineer.
- Good Experience in handling Big Data Spark, Hive SQL, BigQuery, SQL.
- Candidate worked on cloud platforms and GCP would be an added advantage.
- Good understanding of Hadoop based ecosystem including hard sequel, HDFS would be very essential.
- Very good professional knowledge of PySpark or using Scala
Responsibilities :
- Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Design and develop Big Data Engineering Solutions Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
Requirements :
- A Bachelor or Master's degree in Computer Science or a related field.
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Spark, Scala Spark or PySpark, Spark SQL, BigQuery, Python, Google Cloud,.
- Deep understanding and experience in tuning Dataproc, BigQuery, Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g Git), code reviews, and testing methodologies.
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research
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