Astrosoft - Senior AWS Data Engineer (4-12 yrs)

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 Company:

C-CTC:

Ex-CTC:

Offer (Yes/NO): NO

NP (Official / Serving NP-LWD):

Ready to Relocate Hyderabad (Y/N):