Data Engineer
1 month ago
Company Overview
Synechron is a multinational organization with 58 offices in 21 countries, providing cutting-edge financial services to the world's leading tier-one banks, financial institutions, and insurance firms.
We are committed to fostering an inclusive culture, promoting equality, diversity, and respect for all. Our 'Same Difference' initiative aims to create a workplace where everyone feels valued, empowered, and able to thrive.
Salary
The estimated annual salary for this position is $120,000-$180,000, depending on location and experience.
Job Description
Data Engineer - Cloud Solutions Specialist
We are seeking an experienced Data Engineer to join our team as a Cloud Solutions Specialist. This role will involve designing and managing cloud-based data solutions on Azure or Google Cloud, ensuring seamless data integration across various platforms.
Key Responsibilities:
- Develop and maintain robust data pipelines and ETL processes using Microsoft SQL Server and SSIS stack.
- Design and manage cloud-based data solutions on Azure or Google Cloud, ensuring scalable and efficient data storage and processing.
- Leverage Apache tools, including Airflow, Spark, and Hadoop, for orchestrating data workflows and processing large datasets.
- Implement real-time data streaming and event-driven architectures using technologies like Apache Kafka or Azure Service Bus.
- Mentor and guide a team of data engineers, fostering a culture of collaboration and continuous improvement.
- Ensure adherence to data governance and data quality best practices to maintain data integrity and reliability.
- Analyze and optimize current database architecture to enhance performance and scalability.
- Tune SQL queries and ETL processes to improve data performance and efficiency.
- Collaborate with cross-functional teams to understand data requirements, design scalable data solutions, and ensure data security.
- Implement DevOps practices and tools for CI/CD in data engineering to streamline development and deployment processes.
Requirements:
To be successful in this role, you will need:
- Bachelor's degree in computer science, Data Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong focus on developing and maintaining data pipelines and ETL processes.
- Proficient in Microsoft SQL Server and SSIS stack for data management tasks.
- Expertise in designing and managing cloud-based data solutions on Azure or Google Cloud.
- Experience with Apache tools, including Airflow, Spark, and Hadoop.
- Strong programming skills in Java, Python, or C#.
- Experience with real-time data streaming and event-driven architecture, such as Apache Kafka or Azure Service Bus.
- Strong leadership skills with a demonstrated ability to mentor and guide a team of engineers.
- Knowledge of data governance and data quality best practices.
- Proven ability to optimize current database architecture for enhanced performance and scalability.
Benefits:
- A highly competitive compensation package.
- A multinational organization with opportunities for global growth and development.
- Laptop and mobile phone provided.
- 10 days of paid annual leave, plus sick leave and national holidays.
- Maternity & Paternity leave plans.
- Comprehensive insurance plan, including medical, dental, vision, life insurance, and long-/short-term disability.
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focusing on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business access, with over 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
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