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Decision Foundry

Data Engineering Support Specialist

Reposted Yesterday
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Remote
Hiring Remotely in Bengaluru, Karnataka
Mid level
Remote
Hiring Remotely in Bengaluru, Karnataka
Mid level
The Database Engineer will maintain and support AWS Redshift instances, manage data processing issues, troubleshoot logs using CloudWatch, and work closely with cross-functional teams. Strong skills in SQL and data management are required, with an emphasis on debugging and log reading.
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Description

Welcome to Decision Foundry - Data Analytics Division!

We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels.

Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.

We are passionate about harnessing the power of data analytics to transform decision-making processes. Our mission is to empower data-driven decisions that contribute to a better world. In our workplace, you will enjoy the freedom to experiment and explore innovative ideas, leading to outstanding client service and value creation.

We win as an organization through our core tenets. They include:

·       One Team. One Theme.

·       We sign it. We deliver it.

·       Be Accountable and Expect Accountability.

·       Raise Your Hand or Be Willing to Extend it

About the Job

We are looking for immediate joiners.

Hiring for Database Engineer, who have experience in AWS Redshift or related technologies. The role will be responsible for maintaining / supporting our Redshift instance which deals millions of records on a daily basis.

Debugging skills and experience is a must. Experience with hot fixing breaks by log reading (using tech like Cloudwatch) will get preference.

Good to have skills; Python, SQL, Glue, Lambda.

Requirements

Job Requirements: 

  • Strong understanding of data management principles and practices 
  • Familiar with data warehousing concepts and ETL processes. 
  • Should be extremely good at SQL. 
  • Experience handling and monitoring support ticket queues and acting accordingly based on SLAs and priority. 
  • Ability to monitor alerts and application logs for data processing issues and troubleshooting. 
  • Should have experience in log reading and debugging. (CloudWatch experience in preferred)  
  • Familiar with cloud-based data technologies such as AWS 
  • Strong analytical and problem-solving skills 
  • Excellent communication and interpersonal skills 
  • Ability to work collaboratively with cross-functional teams, including Data Engineers and BI team. 

 
Good to have: 

  • Experience with SQL, DBT and database technologies such as Redshift, PostgreSQL, MongoDB, etc. 
  • Familiar with programming languages such as Python.
  • Experience with data ingestion and orchestration tools such as AWS Glu.
  • Experience with Tableau server administration, including user management and permission. 
  • Should have 4+ years of experience. Relevant should be 3 years with the above mentioned expertise.
Benefits

Adaptive and Flexibility at Work.

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