Interesting Job Opportunity: Data Engineer - AWS/Big Data

Job Description

We have vacancies for Aws - Bigdata Specialist position. We 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 organization. This is a great opportunity for someone passionate about working with modern data technologies and optimizing large-scale distributed systems. Key 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 practices. Required 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)