PP - Data Engineer B. - Job4253

Job Summary

As a Data Engineer at our customer's team, you will play a crucial role in building and enhancing tools for data processing. Your work will enable internal business units to leverage data efficiently by developing secure and high performing data integration and ETL processes. You will participate in all stages of development, from analysis to production releases, ensuring quality and collaborating closely with the Product team in an agile environment

Job Responsibilities

• Designing, developing, and implementing ETL processes 
• Collaborating with business analysts and stakeholders to understand data requirements and translating them into technical specifications.
• Optimizing ETL processes for performance and scalability.
• Developing And maintaining data mappings, workflows,and sessions .
• Troubleshooting And resolving data issues to ensure data integrity and consistency.
• Monitoring ETL processes, performing root cause analysis and implementing corrective actions when necessary.
• Documenting technical designs, ETL processes and data flows.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering or a related field.
• 3+ years of proven experience as a Data  Engineer or similar role with a strong background in database development, ETL processes,and software development.
• Strong experience in ETL processes, including data extraction, transformation and loading.
• Proficiency in Python for data processing tasks.
• Experience in data modeling to design efficient and scalable database structures.
• Proficiency in PySpark, Pandas, or other data processing libraries.
• Familiarity with big data technologies such as Hadoop or Apache Spark.
• Proficiency in SQLand scripting languages such as Python with experience working with relational databases (e.g., Oracle, SQL Server, MySQL).
• Experience with data modeling,schema design,and optimization techniques for scalability.
• Strong analytical and problem solving skills with the ability to troubleshoot complex data issues and optimize data processing pipelines for scale.
• Experience with Unix/Linux operating system and shell scripting.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Self Motivated and proactive, with a passion for continuous learning and professional development.