ETL|Data Engineer

Job Information

Industry

IT Services

Work Experience

4-5 years

Remote Job

Job Description

This is a remote position.

Are you a data wizard with a passion for transforming raw data into actionable insights? Do you thrive in dynamic environments where your expertise in data integration, migration, and cleansing can shine? If so, we want you on our team!

What You'll Do:
• Harness Your ETL Expertise: Leverage cutting-edge ETL tools and methodologies to streamline data integration and ensure seamless data flow across systems.
• Data Migration Maestro: Lead data migration efforts with precision, ensuring accuracy and consistency during the transition process.
• Data Cleansing Guru: Apply your deep knowledge of data cleansing techniques to maintain high data quality and integrity.

Your Technical Arsenal:
• SQL Savant: Demonstrate your strong SQL skills and command over other database query languages.
• Coding Connoisseur: Utilize programming languages like Apex, Java, or Python to manipulate and refine data with finesse.

Project Management Excellence:
• Lead with Confidence: Oversee data-focused projects, managing timelines and coordinating seamlessly with cross-functional teams.
• Strategic Thinker: Design and implement effective data conversion strategies that align with business goals.

Master Problem-Solver:
• Detail-Oriented: Identify and resolve data discrepancies and inconsistencies with a keen eye for detail.
• Innovative Solutions: Develop creative solutions to complex data integrity issues, ensuring data remains a trusted asset.

Communication Skills:
• Clear Communicator: Exhibit excellent verbal and written communication skills for reporting progress and guiding team members.
• Tech Translator: Articulate technical concepts in a way that resonates with non-technical stakeholders, fostering understanding and collaboration.

Requirements
• Bachelor’s degree in Computer Science, Information Technology, or a related field is required.
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus.
• 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.