Senior Data Engineer

As a Senior Data Engineer, you will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and insights. You will design and implement data-driven solutions to business problems, develop and maintain efficient data pipelines, and collaborate with various departments to understand their data requirements. The role also involves staying current with industry trends and best practices in data and analytics.

Must Have

• Proficiency in SQL, R, and Python
• Knowledge of Tableau and PowerBI
• Familiarity with Hadoop and Spark
• Experience with AWS and Google Cloud Platform
• Collect, analyze, and interpret large datasets
• Design and implement data-driven solutions
• Develop and maintain data pipelines
• Strong analytical, problem-solving, and troubleshooting skills
• Ability to work independently and as part of a team
• Bachelor's degree in Computer Science, IT, Data Science, or related field

Good to Have

• Certifications in data and analytics (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate)
• Experience in finance, healthcare, or technology industry

Software Requirements:

• Proficient in data analysis tools, such as SQL, R, and Python
• Knowledge of data visualization tools, such as Tableau and PowerBI
• Familiarity with big data technologies, such as Hadoop and Spark
• Experience with cloud-based data storage solutions, such as AWS and Google Cloud Platform

Overall Responsibilities:

• Collect, analyze, and interpret large datasets to identify trends and insights
• Design and implement data-driven solutions to business problems
• Develop and maintain data pipelines for efficient data processing
• Collaborate with other departments to understand their data requirements and provide data-driven solutions
• Stay current with industry trends and best practices in data and analytics

Skills:

• Strong analytical skills with a focus on data-driven decision making
• Ability to design and implement data-driven solutions to business problems
• Excellent problem-solving and troubleshooting skills
• Ability to work independently and as part of a team

Experience:

• XX years of experience in data analysis and data-driven decision making
• Experience in a relevant industry, such as finance, healthcare, or technology

Day-to-Day Activities:

• Collecting, analyzing, and interpreting large datasets to identify trends and insights
• Designing and implementing data-driven solutions to business problems
• Developing and maintaining data pipelines for efficient data processing
• Collaborating with other departments to understand their data requirements and provide data-driven solutions
• Staying current with industry trends and best practices in data and analytics

Qualification:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
• Certifications in data and analytics, such as Certified Analytics Professional or Microsoft Certified: Azure Data Scientist Associate

Soft Skills:

• Strong communication and interpersonal skills
• Ability to work in a fast-paced, high-pressure environment
• Ability to prioritize and manage multiple tasks simultaneously
• Strong customer-focused approach
• Positive attitude and strong work ethic
• Ability to work in a rapidly changing work environment.

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

About Us

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.

For more information on the company, please visit our website

or LinkedIn

community.

Sustainability and Health Safety Commitment

At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.