Sr. Data Engineer (Data Pipelines, ETL and Cloud Services)

Position Overview: We are seeking an experienced Sr. Data Engineer to design and develop highly reliable and scalable data pipelines and data platforms. The ideal candidate will have a strong background in Enterprise BI/Big Data/DW/ETL technologies and extensive experience in large enterprise environments. This role requires a proactive individual with excellent problem-solving skills and the ability to work collaboratively with stakeholders and mentor junior team members.

Software Requirements:

• Experience with Enterprise BI/Big Data/DW/ETL technologies such as Teradata, Hadoop, Tableau, SAS, Hyperion, or Business Objects.
• Knowledge of data modeling patterns.
• Experience with Ab Initio, Snowflake, AWS/Cloud Services.
  
  

Overall Responsibilities:

• Design and develop highly reliable and scalable data pipelines and data platforms with comprehensive test coverage.
• Collaborate with stakeholders to analyze and translate requirements into technical implementations.
• Identify and drive opportunities for continuous improvement within the team and in the delivery of products.
• Provide mentoring and technical assistance to other members of the team, including junior Data Engineers.
• Produce high-quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks and applying industry best practices.
• Provide technical governance of product delivery to ensure successful delivery and adoption.
• Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load.
• Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes, and cloud lakehouses.
• Enable data predictions and models, reporting, and visualization analysis via data integration tools and frameworks.
• Contribute to domain planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.
  
  

Technical Skills:

• Extensive experience with Enterprise BI/Big Data/DW/ETL technologies (Teradata, Hadoop, Tableau, SAS, Hyperion, Business Objects).
• Strong knowledge of data modeling patterns.
• Proficiency in data engineering solutions and frameworks.
• Experience with distributed data platforms including warehouses, databases, data lakes, and cloud lakehouses.
• Experience with Ab Initio, Snowflake, AWS/Cloud Services.
  
  

Experience:

• Extensive experience in large enterprise environments handling large volumes of datasets with High Service Level Agreements.
• 7+ years of experience gained in a financial institution or insurance provider is desirable.
• Experience working within a Data Delivery Life Cycle framework.
• Experience leading discussions and presentations, driving decisions across groups of stakeholders.
  
  

Day-to-Day Activities:

• Design, develop, and maintain data pipelines and data platforms.
• Collaborate with stakeholders to gather requirements and translate them into technical implementations.
• Identify opportunities for continuous improvement and drive initiatives to implement them.
• Provide mentoring and technical assistance to junior team members.
• Ensure data engineering solutions meet business requirements and industry best practices.
• Provide technical governance to ensure successful delivery and adoption of data products.
• Build and implement data pipelines in distributed data platforms.
• Enable data predictions, models, reporting, and visualization analysis.
• Contribute to domain planning and provide guidance to align technical deliveries with engineering strategy.
  
  

Qualification:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in data engineering or cloud technologies are a plus.
  
  

Soft Skills:

• Excellent communication and interpersonal skills.
• Ability to work effectively in a team environment.
• Strong problem-solving skills and attention to detail.
• Proactive, solution-oriented approach to problem-solving.
• Ability to mentor and provide technical guidance to junior team members.
• Ability to lead discussions and presentations, driving decisions across groups of stakeholders.
  
  

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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