Data Engineer (Snowflake & AWS)

Posted 4 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.
Summary Generated by Built In

Position: Data Engineer (Snowflake & AWS) 

Location: Hyderabad/ Bangalore 

 

Job Summary 

We are looking for an experienced Data Engineer with strong expertise in Snowflake and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in building ETL/ELT frameworks, data warehousing, data modeling, and processing large-scale datasets using modern cloud technologies. 

 

Key Responsibilities 

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes. 
  • Build and optimize data solutions using Snowflake and AWS services. 
  • Develop and maintain data ingestion, transformation, and orchestration workflows. 
  • Work with structured and unstructured data from multiple sources. 
  • Implement data quality, validation, monitoring, and governance processes. 
  • Optimize Snowflake data warehouse performance, storage, and query execution. 
  • Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements and deliver solutions. 
  • Create and maintain data models, schemas, and documentation. 
  • Troubleshoot production issues and ensure high availability of data platforms. 
  • Participate in code reviews, testing, deployment, and support activities. 

 

Required Skills 

  • 5+ years of experience in Data Engineering. 
  • Strong hands-on experience with Snowflake (mandatory). 
  • Strong hands-on experience with AWS (mandatory), including services such as S3, Glue, Lambda, Redshift, Athena, EMR, ECS, or related services. 
  • Expertise in SQL and performance tuning. 
  • Strong programming skills in Python and PySpark. 
  • Experience with ETL/ELT tools and frameworks. 
  • Hands-on experience with data orchestration tools such as Airflow, ADF, or similar. 
  • Strong understanding of Data Warehousing concepts and Data Modeling (Star Schema, Snowflake Schema). 
  • Experience working with large-scale data processing and distributed computing frameworks. 
  • Knowledge of CI/CD, Git, and DevOps practices. 

 

Qualifications 

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. 
  • Strong communication and stakeholder management skills. 
  • Ability to work independently and collaboratively in a fast-paced environment


Skills Required

  • 5+ years of experience in Data Engineering
  • Strong hands-on experience with Snowflake
  • Strong hands-on experience with AWS
  • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, Athena, EMR, ECS
  • Expertise in SQL and performance tuning
  • Strong programming skills in Python and PySpark
  • Experience with ETL/ELT tools and frameworks
  • Hands-on experience with data orchestration tools such as Airflow or ADF
  • Strong understanding of Data Warehousing concepts and Data Modeling (Star/Snowflake schemas)
  • Experience with large-scale data processing and distributed computing frameworks
  • Knowledge of CI/CD, Git, and DevOps practices
  • Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field
  • Strong communication and stakeholder management skills
  • Ability to work independently and collaboratively in a fast-paced environment
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The Company
79 Employees
Year Founded: 2012

What We Do

ContenTerra is an IT consulting and solutions development firm specializing in the design and implementation of end-to-end digital engineering services. The company provides a full spectrum of solutions, including AI-powered platforms, cloud infrastructure, and enterprise-grade applications, supporting clients ranging from startups to large enterprises in achieving scalable and intelligent business impact.

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