Data Engineer - AWS/Big Data in Hyderabad, भारत

We have vacancies for Aws - Bigdata Specialist https://jobeax.com/link/LSgW7nHRcJryaGUr are looking for a highly skilled Senior AWS Data Engineer to join our growing data engineering team. The ideal candidate will have deep hands-on experience in AWS cloud services, big data processing frameworks, and advanced SQL programming. You will be responsible for building and maintaining scalable, high-performance data solutions that enable advanced analytics and data-driven decision-making across the https://jobeax.com/link/phOi1F7cXTMpoaEm is a great opportunity for someone passionate about working with modern data technologies and optimizing large-scale distributed https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Design, build, and optimize data pipelines and ETL processes using AWS Glue, Lambda, RDS, and S3.- Develop scalable batch and streaming data processing workflows using Apache Spark, Spark Streaming, and Kafka.- Work with SQL and NoSQL databases (MySQL, PostgreSQL, Elasticsearch) to design schemas and optimize queries for high performance.- Write efficient and optimized SQL for data extraction, transformation, and analytics.- Build and maintain data ingestion, transformation, and integration solutions across multiple systems.- Collaborate with cross-functional teams (data science, analytics, engineering) to provide reliable, high-quality data.- Use Scala, Java, and Python for data processing and automation scripts.- Implement monitoring, logging, and alerting for data pipelines using AWS services (CloudWatch, CloudTrail).- Ensure data security, compliance, and governance using AWS best https://jobeax.com/link/wJIgo45kO3tINlTo Skills & Experience :- 5+ years of experience with AWS Services including RDS, AWS Lambda, AWS Glue, EMR, S3, and related big data technologies.- 5+ years of experience working with Apache Spark, Spark Streaming, Kafka, and Hive.- Strong experience in SQL and NoSQL databases (MySQL, PostgreSQL, Elasticsearch).- Proficiency in Java and Scala, with hands-on scripting experience in Python and Unix/Linux shell.- Deep understanding of Spark programming paradigms (batch and stream processing).- Advanced knowledge of SQL, including query optimization, indexing, and performance tuning.- Strong analytical and problem-solving skills with the ability to handle large datasets efficiently. (ref:hirist.tech)