Data Engineer

6 days ago

Chennai, India antal Full time

Description : Key Responsibilities : - Design, develop, and maintain ETL/ELT data pipelines using PySpark, Spark, and Python- Build and optimize data ingestion, transformation, and integration workflows on AWS- Work extensively with AWS Glue, Athena, Redshift, and S3 for data processing- Implement schema design, fact/dimension modelling, and data partitioning- Write optimized SQL queries for analytics and processing at scale- Develop and maintain data streaming pipelines using AWS Kinesis or Apache Kafka- Conduct performance tuning and troubleshooting for data pipelines- Ensure data quality, consistency, and high reliability throughout the pipeline lifecycleRequired Technical Skills : - Graduate with specialization in Computer Science / Data Science / Engineering streams or related field with 3 to 5 Years of Hands on Experience In Data Engineering- Minimum 3+ years working with PySpark, Python, and Spark- Strong SQL skills including complex queries and performance tuning- Proven Practical knowledge of AWS data services (Glue, Athena, Redshift, S3)- Solid understanding of data warehousing methodologies and modelling- Expertise in ETL/ELT pipeline development, performance Optimization and workflow orchestration- Experience with data streaming technologies (Kinesis / Kafka preferred)- Must be able to write production-grade code (not only theoretical or oversight role)Good to Have : - Knowledge of Terraform / CloudFormation for infrastructure automation.- Experience working in Agile environments.- Understanding of data governance, cataloguing, and lineage tools.Preferred Qualifications : - Experience working in Agile development environments- Familiarity with version control systems and CI/CD practices- Exposure to large-scale data systems and cloud-native architecturesWho Should Apply : - Data Engineers experienced in developing and supporting scalable data pipelines- Candidates ready to work on modern cloud data engineering projects- Professionals available to join immediately or within a short notice period (ref:hirist.tech)

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