Data Engineer - SQL / Spark

About Client :

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA.

Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.

It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation.

The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : Data Skills : Data Engineer , Python , SQL , Locations : : 6 to Qualification : Any Mode : Type : Period : responsibilities : Data Skills : Data Engineer , Python ,AWS, SQL , Spark, sparkSQL, and JD :

• Analyze and organize raw data.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit / integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Designs data integrations and data quality framework.
• Designs and evaluates open source and vendor tools for data and skills :
• Previous experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Hands-on experience with SQL database design.
• Great numerical and analytical skills.

(ref : hirist.tech)