Synechron
Sr Data Engineer
Synechron, Charlotte, North Carolina, United States, 28245
We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
We are seeking a highly skilled and motivated individual with a strong technical background to join our team. An experienced Data Engineer with strong communication skills to convey technical concepts effectively to non-technical stakeholders.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $115k - $125k/year & benefits (see below).
The Role
Responsibilities
:Develop and maintain robust data pipelines and ETL processes to facilitate seamless data integration across various platforms.
Utilize Microsoft SQL Server and SSIS stack for data management and transformation tasks.
Design and manage cloud-based data solutions on Azure or Google Cloud to ensure scalable and efficient data storage and processing.
Leverage Apache tools, including Airflow, Spark, and Hadoop, for orchestrating data workflows and processing large datasets.
Write and maintain high-quality code in programming languages such as Java, Python, or C#.
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.
Demonstrate strong analytical and problem-solving skills while paying attention to detail.
Requirements:
You are:
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.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication skills to convey technical concepts effectively to non-technical stakeholders.
It would be great if you also had:
Experience with machine learning and data analytics tools is a plus.
Familiarity with data visualization tools (e.g., Tableau, Power BI) for presenting data insights.
Knowledge of Agile methodologies and experience working in an Agile environment.
We can offer you:
A highly competitive compensation and benefits package
A multinational organization with 58 offices in 21 countries and the possibility to work abroad
Laptop and a mobile phone
10 days of paid annual leave (plus sick leave and national holidays)
Maternity & Paternity leave plans
A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
Retirement savings plans
A higher education certification policy
Commuter benefits (varies by region)
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
A flat and approachable organization
A truly diverse, fun-loving and global work culture
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.
Candidate Application Notice
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
We are seeking a highly skilled and motivated individual with a strong technical background to join our team. An experienced Data Engineer with strong communication skills to convey technical concepts effectively to non-technical stakeholders.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $115k - $125k/year & benefits (see below).
The Role
Responsibilities
:Develop and maintain robust data pipelines and ETL processes to facilitate seamless data integration across various platforms.
Utilize Microsoft SQL Server and SSIS stack for data management and transformation tasks.
Design and manage cloud-based data solutions on Azure or Google Cloud to ensure scalable and efficient data storage and processing.
Leverage Apache tools, including Airflow, Spark, and Hadoop, for orchestrating data workflows and processing large datasets.
Write and maintain high-quality code in programming languages such as Java, Python, or C#.
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.
Demonstrate strong analytical and problem-solving skills while paying attention to detail.
Requirements:
You are:
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.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication skills to convey technical concepts effectively to non-technical stakeholders.
It would be great if you also had:
Experience with machine learning and data analytics tools is a plus.
Familiarity with data visualization tools (e.g., Tableau, Power BI) for presenting data insights.
Knowledge of Agile methodologies and experience working in an Agile environment.
We can offer you:
A highly competitive compensation and benefits package
A multinational organization with 58 offices in 21 countries and the possibility to work abroad
Laptop and a mobile phone
10 days of paid annual leave (plus sick leave and national holidays)
Maternity & Paternity leave plans
A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
Retirement savings plans
A higher education certification policy
Commuter benefits (varies by region)
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
A flat and approachable organization
A truly diverse, fun-loving and global work culture
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.
Candidate Application Notice