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Databricks Data Engineer
CellStrat
posted 7d ago
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Job Description
Databricks Data Engineer
Location: Bangalore (3 days in office at Marathalli)
Job Description The successful candidate will be:
- Big Data engineer with extensive coding experience in Spark & Scala.
- Ability to work well within a product-based organization (product mindset) and with a team comprising of developers & functional experts on a critical customer-facing product.
- Has prior experience of at least 2 years as a PO or lead business analyst and is comfortable with technical products.
- Experience in creating data pipelines using Spark and in-depth knowledge of Spark performance tuning.
- Good to have experience in microservices-based architecture.
- Autonomous, motivated, and self-driven.
- Prior experience in managing direct customer communication, expectations management, and handling ambiguity.
- Strong stakeholder management skills to manage dependencies across multiple teams and lead discussions with multiple stakeholders.
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
- Ready to work with a DevOps mindset with other engineers.
- Ability to understand Application architecture and align with overall product functionality and vision.
- Excellent English verbal and written communication skills.
- Strong analytical and conceptual thinking for performing efficient root cause analysis and driving resolutions.
- Airline industry knowledge is a strong positive.
- 10+ years of experience in analysis, design, development, documentation, implementation, and testing of software products using Spark, Scala, and Big Data tech stacks.
- At least 6+ years of working with Big Data Tech stacks: Databricks, Kafka, Spark, and experience on the Azure cloud platform.
- Good to have experience with NoSQL data using MongoDB, Cassandra, HBase, etc.
- Good to have experience in microservices-based architecture.
- Sound knowledge of OOPs concepts (Class loading, Memory Management, Transaction management, Multithreading, Garbage collection, Performance optimization), Data structures, and Design Patterns.
- Experience with Streaming data using Apache Kafka and processing it in real-time with optimum performance.
- Experience in Messaging architecture using MQ is a plus.
- Experience in designing and developing high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
- Scala, Databricks, Kafka, Spark, Azure, NoSQL, DataLake, Big Data, Streaming.
Employment Type: Full Time, Permanent
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