ETL / Spark Developer

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POSITION: ETL / Spark Developer

LOCATION: McLean, VA. (Hybrid)

Experience: 10+ years

Work type: Fulltime (W2 / C2C)

PETADATA is currently looking to hire for the ETL / Spark Developer role for one of their clients.

Roles & Responsibilities:

• Should have experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients.
• Collaborate with cross-functional teams to understand data requirements and design robust data architecture solutions.
• Design, develop, and implement scalable data processing solutions using Apache Spark
• Ability to organize and to keep the projects well-arranged and structured.
• 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.
• Develop batch processing workflows for large-scale data processing and analysis.
• Analyze the business requirement to determine the volume of data extracted from different sources, data models, to ensure the quality of the data involved.
• Should be able to figure out the best storage medium required for the data warehouse needed.
• Identify the data storage needs to determine the amount of data to deal with the company's requirements.
• Must ensure the data quality that everything is in place at the transformation stage to eliminate errors and fix unstructured and unorganized data extracted.
• Responsible for ensuring that the data is loaded into the warehouse system and meets the business needs and standards.
• Should be responsible for data flow validation, creating and building a secured database warehouse that meets a given company's needs and standards.
• Must be responsible for determining the storage needs of a business and the volume of data involved.
  
  

• Should have 10+ years of experience in implementing ETL processes to extract, transform, and load data from various sources to ensure data quality, integrity, and consistency throughout the ETL pipeline.
• Must be expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub).
• Experienced 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.
• Must load data and be proficient in valuable technical skills such as SQL, JAVA, XML, and DOM, among others.
• Extensive knowledge and experience with Spark and its technologies.
• Hands-on Experience with Apache Spark framework, including the Spark SQL module for querying databases.
• Good knowledge on data analysis, design, and programming skills such as JavaScript, SQL and XML, and DOM.
• Familiar with various coding languages used in web development, including HTML, CSS, JavaScript, Python, Java, Scala, or R proficiency.
• Should have experience in writing clean code that's free of bugs and reproducible by other developers.
• Experience in managing SQL databases and organizing big data.
• Hands-on experience with ETL such as MS SQL, SSIS (Server Integration Services), Python / Perl, Oracle, SQL Server/ MySQL.
• Solid understanding of Data warehousing schemes, Dimensional modeling, and implementing data storage solutions to support efficient data retrieval and analysis.
• Must be an expert in debugging ETL processes, optimizing data flows, and ensuring that the data pipeline is robust and error-free.
• Good knowledge of Verbal and communication skills.