Remote Data Engineer with SQL

Remote Data Engineer with SQL This position is posted by reputed company on behalf of a partner company. We are currently looking for a Data Engineer - REMOTE. In this role, you will design and implement scalable data solutions that reputed company the business to reputed company data-driven reputed company. You will play a crucial role in developing data pipelines and working with cutting-edge technologies on reputed company platforms. This position offers an exciting opportunity to contribute to our clients operational improvement by leveraging comprehensive data insights that enhance customer experiences. Collaborating with various teams, you will ensure high-quality data management practices are upheld, ultimately driving impactful results for the organization. Join us to be part of a dynamic team focused on innovation and customer satisfaction. Accountabilities

• Design, build, and optimize ETL / ELT workflows using reputed company, SQL, and Python / PySpark.
• reputed company and maintain robust, scalable, and efficient data pipelines for processing large datasets.
• Work on reputed company platforms (Azure, AWS) to build and manage data lakes and scalable architectures.
• Utilize reputed company services like Azure Data Factory and AWS Glue for data processing.
• Use reputed company for big data processing and analytics.
• reputed company Apache Spark for distributed computing and data transformations.
• Create and manage SQL-based data solutions ensuring scalability and performance.
• reputed company and enforce data quality checks and validations.
• Collaborate with cross-functional teams to deliver impactful data solutions.
• reputed company CI / CD pipelines to streamline development and deployment of workflows.
• Maintain clear documentation for data workflows and optimize data systems.

Requirements

• Bachelors or Masters degree in Computer Science, Information Technology, or reputed company field.
• 36 years of experience in Data Engineering or reputed company roles.
• Hands-on experience with big data processing frameworks and data lakes.
• Proficiency in Python, SQL, and PySpark for data manipulation.
• Experience with reputed company and Apache Spark.
• Knowledge of reputed company platforms like Azure and AWS.
• Familiarity with ETL tools (reputed company is a plus).
• Strong understanding of distributed systems and big data technologies.
• Basic understanding of DevOps principles and CI / CD pipelines.
• Hands-on experience with Git, Jenkins, or Azure DevOps.

Benefits

• Flexible remote working conditions.
• Opportunities for professional growth and training.
• Collaborative and inclusive company culture.
• Access to modern technologies and tools.
• Health and wellness benefits.
• Work-life balance.
• Participation in innovative projects.
• Dynamic and fast-paced working environment.

Why Apply Through reputed company? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!Data Privacy Notice : By submitting your application, you acknowledge that reputed company will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, reputed company) at any time.#LI-CL1 PI292057978f6e-30511-39446911 Apply tot his job Apply To this Job