Senior Data Engineer

0 - 5 years

0 Lacs

Posted:17 hours ago| Platform: Indeed logo

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Job Description

Company Profile:
Flentas helps enterprises leverage the full potential of the Cloud with the help of consulting and implementation
practice. As an organization, Flentas has the technology expertise and experience to drive large digital
transformation projects and scale cloud operations. Flentas serves clients globally of all shapes and sizes with a
strong and passionate team of experienced Solution Architects and Technology Enthusiasts.

Job Title: AWS Data Engineer (exp: 3-5 years)
Job Location: Pune, Maharashtra

Job Brief:
We are seeking a skilled AWS Data Engineer to join our team. The ideal candidate will have a strong background
in building, managing, and optimizing large-scale data pipelines and data lakes on AWS. This role requires hands-
on experience with AWS cloud services, data warehousing, ETL/ELT processes, and a deep understanding of big
data technologies.

Key Responsibilities: 
Design, develop, and maintain scalable data pipelines using AWS services (Glue, Lambda, S3,
Redshift, etc.). 
Design, configure, and manage AWS OpenSearch clusters to enable optimized data indexing and
search capabilities. 
Implement and optimize ETL/ELT processes for data ingestion and transformation. 
Collaborate with data scientists and analysts to ensure data quality and accessibility. 
Build and manage data storage solutions such as data lakes and data warehouses. 
Ensure data security and compliance with relevant regulations. 
Monitor and troubleshoot data pipelines and infrastructure for performance and reliability

Qualifications: 
Bachelor's degree in Computer Science, Information Technology, or related field. 
Proficiency in AWS services like EC2, S3, Redshift, Glue, Lambda, and RDS. 
Strong experience with data warehousing and ETL processes. 
Experience with SQL, Python, and big data technologies (e.g., Hadoop, Spark). 
Familiarity with cloud-based architecture and infrastructure as code (e.g., Terraform, Cloud
Formation). 
Strong problem-solving and analytical skills.

Preferred Qualifications: 
AWS certification (AWS Certified Data Analytics, AWS Certified Solutions Architect, etc.). 
Experience with real-time data processing (e.g., Kinesis, Kafka, etc)

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