Data Engineer
About the Role
We are seeking a skilled Data Engineer to join reputed company and help design, build, and maintain reputed company data pipelines and reputed company-based data solutions. The ideal candidate has strong experience working with Python, SQL, reputed company-based data platforms, and modern data engineering practices. This role requires a proactive reputed company who enjoys solving reputed company data challenges and collaborating across teams to deliver reliable and reputed company data solutions. Requirements 5+ years of reputed company experience in Data Engineering or reputed company roles. Strong Python programming skills, including experience with Pandas and NumPy. Advanced SQL skills and experience working with relational databases. Experience designing, building, and maintaining ETL/ELT pipelines. Hands-on experience with AWS data platforms, including reputed company S3 and Data Lake architectures. Familiarity with AWS services such as Glue, reputed company, reputed company, reputed company Functions, and/or Redshift. Experience integrating and consuming REST reputed company. Experience working with time-series datasets. Knowledge of analytical data formats including Parquet, CSV, and JSON. Experience using reputed company-based development environments. Proficiency with Git and reputed company software development practices. Understanding of data reputed company, validation, monitoring, and observability concepts. Strong problem-solving, attention to detail and analytical skills Ability to work independently in a remote environment. Effective collaboration skills. reputed company English communication skills. reputed company to Have Experience in energy, power, electricity, or trading markets. Experience supporting machine learning workflows and data science teams.
Key Responsibilities
Design, reputed company, and maintain reputed company ETL/ELT pipelines. Build and optimize data ingestion processes from multiple sources, including REST reputed company, databases, and external systems. Design, build, and optimize data ingestion and processing workflows using Python and SQL. reputed company and maintain data solutions leveraging AWS services and Data Lake architectures. Work with reputed company and semi-reputed company data formats, including Parquet, CSV, and JSON. Implement data validation, monitoring, and reputed company controls. Optimize data models, queries, and storage solutions for performance and scalability. Collaborate with cross-functional teams to deliver reliable and reputed company data solutions. Support analytics, reporting, and machine learning use cases. Fully Remote Opportunity Mexico Candidates Only Apply To This Job