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redshift engineer
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redshift engineer

Christy Philip's profile picture
Posted by Christy Philip
2 - 5 yrs
Best in industry
Remote only
Skills
Amazon Redshift
Data Warehouse (DWH)
Informatica
ETL
Relational Database (RDBMS)
Datawarehousing

Description

About us

Welcome to Decision Foundry!

We are both a high growth startup and one of the longest tenured Salesforce Marketing Cloud Implementation Partners in the ecosystem. Forged from a 19-year-old web analytics company, Decision Foundry is the leader in Salesforce intelligence solutions.

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

Requirements

• Strong understanding of data management principles and practices (Preferred experience: AWS Redshift).

• Experience with Tableau server administration, including user management and permissions (preferred, not mandatory).

• Ability to monitor alerts and application logs for data processing issues and troubleshooting.

• Ability to handle and monitor support tickets queues and act accordingly based on SLAs and priority.

• Ability to work collaboratively with cross-functional teams, including Data Engineers and BI team.

• Strong analytical and problem-solving skills.

• Familiar with data warehousing concept and ETL processes.

• Experience with SQL, DBT and database technologies such as Redshift, Postgres, MongoDB, etc.

• Familiar with data integration tools such as Fivetran or Funnel.io

• Familiar with programming languages such as Python.

• Familiar with cloud-based data technologies such as AWS.

• Experience with data ingestion and orchestration tools such as AWS Glue.

• Excellent communication and interpersonal skills.

• Should possess experience of 2+ years.

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About decisionfoundry

Founded :
2022
Type
Size :
100-1000
Stage :
Bootstrapped
About
N/A
Company social profiles
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They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

 

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.


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Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

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Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.


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Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

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Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
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