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About the role
Senior Big Data Developer Location - Bangalore Exp- 5 to 10 years JD : • Design, develop, and maintain scalable data pipelines and systems using Apache Spark, Databricks, and SQL. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. • Optimize and tune data processing workflows for performance and scalability. • Implement data quality checks and ensure data integrity across various data sources. • Develop and maintain ETL processes to ingest and transform data from multiple sources. • Monitor and troubleshoot data pipeline issues, ensuring timely resolution. • Stay up-to-date with the latest industry trends and technologies in data engineering. Requirements: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 5+ years of experience in data engineering or a related role. • Strong proficiency in Apache Spark and Databricks. • Advanced SQL skills, including experience with complex queries and performance optimization. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Proficiency in programming languages such as Python or Scala. • Familiarity with data warehousing concepts and technologies (e.g., Snowflake, Redshift). • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Preferred Qualifications: • Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink). • Knowledge of data governance and security best practices. • Experience with CI/CD pipelines and DevOps practices.
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