Databricks (AWS Databricks or Azure Databricks) Mandatory
AWS or Azure Cloud
Design, develop, and implement scalable Big Data solutions.
Build high-performance data pipelines using Apache Spark and Python.
Develop and optimize ETL processes for large-scale data processing.
Integrate data from multiple sources including RDBMS, ERP systems, and files.
Optimize Spark jobs for performance and scalability.
Work with cloud-based data platforms using AWS Databricks or Azure Databricks.
Collaborate with cross-functional teams following Agile methodologies.
Required Skills & Experience
- 8+ years of experience in Big Data and Data Engineering technologies.
- Expert-level experience with Apache Spark.
- Hands-on programming experience in Python.
- Experience with stream processing technologies such as Spark Streaming or Apache Storm.
- Experience with messaging platforms like Kafka or RabbitMQ.
- Experience integrating data from SQL Server, Oracle, ERP systems, and other enterprise data sources.
- Solid SQL skills including joins, stored procedures, and relational database concepts.
- Experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
- Strong understanding of ETL frameworks and best practices.
- Experience in Spark performance tuning.
- Hands-on experience with Azure Databricks or AWS Databricks.
- Ability to lead technical teams and deliver end-to-end Big Data solutions.
- Experience working in Agile development environments.
Opportunity to work on large-scale global projects.
Continuous learning through online training, knowledge-sharing sessions, and external certifications.
Opportunities for short-term and long-term relocation to global offices.
Individual career development and growth plans.
Health & Medical Insurance
Retirement Benefits
Paid Time Off
Adaptable Benefits Program
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📌 Senior Big Data Engineer (hybrid) (Bengaluru)
🏢 Cortex Consultants
📍 Bengaluru
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