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Python Kubernetes Software Engineer Data Jobs in Georgetown, TX

Software Engineer - Data

Austin, TX · On-site

$113.50K - $136.30K/yr

Data Engineer We are seeking a highly experienced Engineer to join our team and own the development ... Apache Spark, SQL, git, Programming Language (Python, Java, Scala) Nice to have: Understanding of ...

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact ... Experience with Python and Rust * Experience with data analytics systems such as Clickhouse, Delta ...

Software Engineer - Data

Austin, TX · On-site

$113.50K - $136.30K/yr

Data Engineer We are seeking a highly experienced Engineer to join our team and own the development ... Apache Spark, SQL, git, Programming Language (Python, Java, Scala) Nice to have: Understanding of ...

Python + Kubernetes + Mongo DB

Austin, TX · On-site

$49.75 - $68.75/hr

• Support new features and maintenance on existing team security service projects - backend PythonMust Have: • Minimum of 4-5 years of experience in building solutions in Python. • Experience ...

They are seeking a highly skilled robotics software engineer proficient in C++ or Python to design ... data structures to solve complex computational problems. • Ensure security and compliance ...

We are seeking a highly skilled robotics software engineer, very proficient in C++ or Python coding ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

We are seeking a highly skilled robotics software engineer, very proficient in C++ or Python coding ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

We are seeking a highly skilled software engineer, very proficient in C++ or Python coding. What ... Develop algorithms and data structures to solve complex computational problems. * Ensure security ...

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Software Engineer - Data

Argyle Infotech

Austin, TX • On-site

$113.50K - $136.30K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer

We are seeking a highly experienced Engineer to join our team and own the development of a tiered data architecture for our data. In this role, they would be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our leadership and business stakeholders.

Skills Required: Apache Spark, SQL, git, Programming Language (Python, Java, Scala) Nice to have: Understanding of Design Patterns, Able to discuss tradeoffs between RDBMS vs Distributed Storage

Key Qualifications:

  • Proven experience in data engineering, data architecture, or a related field
  • Experience in building and deploying tiered data architecture for analytics data is a plus
  • Strong understanding of data modeling, data warehousing, and ETL concepts
  • Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark
  • Experience with data orchestration tools like Airflow is a nice to have
  • Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines
  • Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams

Description:

  • Design and implement a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner.
  • Develop data models and mapping rules to transform raw data into actionable insights and reports.
  • Collaborate with the analytics and business teams to understand their requirements and deliver solutions that meet their needs.
  • Ensure data quality and accuracy by developing data validation and reconciliation processes.
  • Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.
  • Collaborate with multi-functional teams to define and implement data governance policies and standards.
  • Stay informed about the latest developments in data analytics and data management technologies and recommend new tools and methodologies to improve the semantic layer.