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[F] Data Architect at Avyka

Role overview

Qualifications

  • Relevant experience in data engineering
  • Strong proficiency in Python, SQL, ETL, and data modeling
  • Experience with tools like Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, Big Data
  • Cloud knowledge (AWS, Azure, or GCP) is a plus

Responsibilities

  • Design, develop, and maintain large-scale data systems
  • Develop and implement ETL processes using various tools and technologies
  • Collaborate with cross-functional teams to design and implement data models
  • Troubleshoot data-related issues and optimize data systems

About the company

InOrg Global logo

InOrg Global

Business Consulting & Services

InOrg helps organizations achieve global competitiveness through the seamless integration of talent, technology, and strategic capabilities.

Company details

Company typeScaleup
IndustryBusiness Consulting & Services
Company size11 - 50

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Job description

Job Summary:

We're seeking an experienced Data Architect / Senior Data Architect/ Associate Data Architect
Expertise in data engineering across major data platforms. The ideal candidate will have a
strong background in Python, SQL, ETL, and data modeling, with experience in tools like
Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud
knowledge (AWS, Azure, or GCP) is a plus. The role requires a willingness to transition and
upskill into Databricks & AI/ML projects.
Key Responsibilities:
● Design, develop, and maintain large-scale data systems
● Develop and implement ETL processes using various tools and technologies
● Collaborate with cross-functional teams to design and implement data models
● Work with big data tools like Hadoop, Spark, PySpark, and Kafka
● Develop scalable and efficient data pipelines
● Troubleshoot data-related issues and optimize data systems
● Transition and upskill into Databricks & AI/ML projects
Requirements:
● Relevent experience in data engineering
● Strong proficiency in Python, SQL, ETL, and data modeling
● Experience with one or more of the following:
○ Teradata
○ Informatica
○ Hadoop
○ Spark
○ PySpark
○ ADF
○ Snowflake
○ Big Data
○ Scala
○ Kafka
● Cloud knowledge (AWS, Azure, or GCP) is a plus
● Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML
Nice to Have:
● Experience with Databricks
● Knowledge of AI/ML concepts and tools
● Certification in relevant technologies
What We Offer:
● Competitive salary and benefits
● Opportunity to work on cutting-edge projects
● Collaborative and dynamic work environment
● Professional growth and development opportunities
● Remote work opportunities & flexible hours

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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