Job Description:
We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value.
Software Requirements:
- AWS Redshift
- Kubernetes
- Spark
- Python
- SQL
- DBT
- Dataiku
Overall Responsibilities:
- Design and implement data pipelines, data lakes, and visualization solutions to create business value.
- Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku.
- Apply best practices in data architecture, modeling, and metadata management.
- Analyze and troubleshoot complex data issues, ensuring timely resolution.
- Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions.
Category-wise Technical Skills:
Big Data Technologies:
- Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku.
Data Architecture & Modeling:
- Strong understanding of data architecture, modeling, and metadata management.
- Experience in designing and managing data pipelines and data lakes.
Data Analysis & Troubleshooting:
- Excellent data analytical and troubleshooting skills.
- Ability to analyze and resolve complex data issues in a timely manner.
Experience:
- 6-8 years of experience in data and analytics.
- Proven track record of developing and maintaining big data solutions.
Day-to-Day Activity:
- Design, develop, and implement data pipelines and data lakes.
- Maintain and optimize big data solutions using various technologies.
- Apply best practices in data architecture and modeling.
- Analyze and troubleshoot data issues to ensure data integrity and availability.
- Collaborate with stakeholders to gather requirements and deliver data solutions.
- Stay updated with emerging trends in data and analytics.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- Relevant certifications in big data technologies and data engineering are a plus.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Customer-focused approach with the ability to understand and meet stakeholder needs.
- Attention to detail and strong organizational skills.
- Ability to work independently and as part of a team.
SYNECHRON’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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