BQ/ GCP Data Engineer

Job Title: BQ/GCP Data Engineer

Overview:

We are seeking a skilled BQ/GCP Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines and infrastructures using Google Cloud Platform (GCP) and BigQuery. This role requires expertise in data processing, data modeling, and cloud technologies to support data-driven solutions across various business units.

Overall Responsibilities:

• Design, develop, and optimize data pipelines from various data sources into BigQuery.
• Create and maintain data models that supports analytical and reporting needs.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
• Implement data governance practices ensuring data quality and compliance with industry standards.
• Monitor and troubleshoot data pipelines performance and reliability.
• Stay updated with the latest trends and best practices in data engineering and cloud technologies.

Technical Skills:

1. Software Requirements:

• Proficiency in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Experience with ETL tools and frameworks.
• Familiarity with version control systems (e.g., Git).

2. Data Engineering Skills:

• Strong knowledge of SQL and scripting languages (Python, Bash).
• Experience with data modeling and designing data warehouses.
• Understanding of data transformations and data pipeline architectures.

3. Cloud Architecture:

• Knowledge of cloud concepts and GCP architecture.
• Experience with setting up and managing cloud resources.

4. Data Security:

• Familiarity with data encryption, access controls, and compliance requirements.

Experience:

• 3+ years of experience in data engineering or related field.
• Prior role in designing and implementing data solutions in a cloud environment.
• Experience in the financial industry is highly desirable.

Day-to-Day Activities:

• Develop and maintain data pipelines to ensure data is accessible and reliable.
• Collaborate with data scientists and analysts to integrate data for analysis and reporting.
• Regularly review and optimize existing data processes for performance improvements.
• Document data flows, pipelines, and architecture designs for internal reference.
• Participate in team meetings to discuss project updates, challenges, and solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Certifications in GCP or data engineering are a plus.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Ability to work collaboratively in a team-oriented environment.
• Strong attention to detail and commitment to quality results.
• Adaptability to changing technologies and methodologies.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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