ETL Developer with Matillion Tool

7 days ago

Seattle, Washington, United States PETADATA Full time

Job Title: ETL Developer with Matillion Tool

Job Summary:

PETADATA is seeking an experienced ETL Developer with expertise in Matillion Tool to join our team. As an ETL Developer, you will be responsible for designing, developing, and implementing scalable data processing solutions using Apache Spark. You will collaborate with cross-functional teams to understand data requirements and design robust data architecture solutions.

Key Responsibilities:

  • Design and develop efficient data processing solutions using Apache Spark
  • Collaborate with cross-functional teams to understand data requirements and design robust data architecture solutions
  • Implement ETL processes to extract, transform, and load data from various sources to ensure data quality, integrity, and consistency throughout the ETL pipeline
  • Optimize code for performance and scalability, keeping up-to-date with the latest industry best practices
  • Ensure data quality, integrity, and consistency throughout the ETL pipeline
  • Integrate data from different systems and sources to provide a unified view for analytical purposes
  • Collaborate with data analysts to implement solutions that meet their data integration needs
  • Design and implement streaming workflows using PySpark Streaming or other relevant technologies
  • Build strings of configured components inside a job and then run that job to accomplish a desired task such as loading or transforming data using Matillion ETL tool
  • Develop batch processing workflows for large-scale data processing and analysis
  • Analyze business requirements to determine the volume of data extracted from different sources, data models, to ensure the quality of the data involved
  • Identify the data storage needs to determine the amount of data to deal with the company's requirement
  • Ensure the data quality that everything is in place at the transformation stage to eliminate errors and fix unstructured and unorganized data extracted
  • Ensure that the data is loaded into the warehouse system and meets the business needs and standards
  • Responsible for data flow validation, creating and building a secured database warehouse that meets a given company's needs and standards
  • Responsible for determining the storage needs of a business and the volume of data involved

Requirements:

  • Expertise in Matillion ETL, Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub)
  • Expertise in Python and PySpark to develop efficient data processing and analysis scripts
  • Optimize code for performance and scalability, keeping up-to-date with the latest industry best practices
  • Proficient in valuable technical skills such as SQL, JAVA, XML, and DOM, among others
  • Extensive knowledge and hands-on experience on Spark and its technologies
  • Hands-on experience with Apache Spark framework, including the Spark SQL module for querying databases
  • Familiar with various coding languages used in web development, including HTML, CSS, and JavaScript, Python, Java, Scala, or R proficiency
  • Ability to write clean code that's free of bugs and reproducible by other developers
  • Experience managing SQL databases and organizing big data
  • Hands-on experience with ETL such as Matillion ETL, MS SQL, SSIS (Server Integration Services), Python/Perl, Oracle, SQL Server/MySQL
  • Solid understanding of Data warehousing Schemas, Dimensional modeling, implementing data storage solutions to support efficient data retrieval and analysis
  • Skill set necessary for debugging ETL processes, optimizing data flows, and ensuring that the data pipeline is robust and error-free

Educational Qualification:

Bachelor's/Master's degree in Computer Science, Engineering, or a related field

We offer a professional work environment and opportunities to grow in the Information technology world

Note:

Candidates required to attend phone/video call/in-person interviews and after selection, the candidate should go through all background checks on education and experience

Please email your resume to:

Do NOT FORGET to mention your valid LinkedIn on your resume

After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps

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