Astrosoft - Senior AWS Data Engineer

Job Title : Senior AWS Data Engineer (Data Engineering & Analytics) Company : AstroSoft Technologies About the Job : Astrosoft Technologies, a leading provider of Data, Analytics, Cloud, AI/ML, and Digital solutions, is seeking a highly skilled and experienced Senior AWS Data Engineer to join our expanding team in Hyderabad. This is an exciting opportunity to work on cutting-edge data engineering and analytics projects using the latest AWS technologies. We are looking for a passionate and driven individual with a strong background in building scalable and reliable data pipelines and analytics solutions. Location : Hyderabad, India (Hybrid) Job Type : Full-Time Experience : 4-12 Years Key Responsibilities : - Design, develop, and maintain robust and scalable data pipelines using AWS services such as AWS Glue, Lambda, and EMR. - Build and optimize data warehouses using Amazon Redshift. - Implement real-time data streaming solutions using Kafka and Apache Spark. - Manage and optimize data storage solutions using Amazon S3. - Develop and maintain infrastructure as code using Terraform. - Design and implement efficient ETL/ELT processes using AWS Glue and other relevant tools. - Optimize data pipelines, queries, and infrastructure for performance and scalability. - Implement monitoring and observability solutions using CloudWatch, Splunk, DataDog, and other relevant tools. - Manage and optimize database platforms such as Oracle and AWS Redshift, including SQL tuning and physical optimization. - Design and implement streaming architectures using Kafka, Spark, Flink, etc. - Collaborate with business partners, data scientists, and other engineers to understand requirements and deliver solutions. - Adhere to best practices for data engineering, software development, and cloud infrastructure management. - Implement SRE concepts to ensure application health and reliability. Required Skills and Qualifications : Experience : 4-12 years of experience in data engineering and analytics. - Extensive experience with AWS services, including Amazon Redshift, AWS Lambda, Apache Spark, Amazon S3, AWS Glue, and EMR. - Strong understanding and experience with streaming architectures and technologies like Kafka and Spark. - Proficiency in Python (preferred), Java, or Scala. - Experience with Terraform for building and managing AWS infrastructure. - Strong experience with ETL/ELT tools in AWS. - Strong experience with database platforms such as Oracle and AWS Redshift. - Strong experience in SQL tuning and database optimization. - Experience with monitoring and observability tools like CloudWatch, Splunk, and DataDog. - Excellent interpersonal and communication skills. - Strong critical thinking and problem-solving skills. - Self-motivated and able to perform under pressure. Desired Skills and Experience : - AWS Certification (AWS Certified Data Analytics - Specialty). - Experience with MWAA (Airflow). - Experience with AWS DMS. - Experience with ODI. - Familiarity with SRE principles and practices. - Experience with Flink. Benefits Program : - H1B Sponsorship (Depends on Project & Performance) - Lunch & Dinner (Every day) - Health Insurance Coverage- Group - Industry Standards Leave Policy - Skill Enhancement Certification - Hybrid Mode Interview Process : - 2 Technical Rounds - Early Joiners Preferred Candidate Information (Please provide the following): Total Experience : AWS Services - Years of Experience: Current Location: Current (Yes/NO): NO NP (Official / Serving NP-LWD): Ready to Relocate Hyderabad (Y/N): (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 3/26/2025