Senior Engineer, Data Engineering

Good-day, We have immediate opportunity for Data Engineer.
Job Role: Data Engineer
Experience- 7 to 12 years
Notice : Only immediate joiner .
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 honoured with multiple employer awards, recognizing our commitment to our talented teams. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and 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.
Job Title: Data Engineer
Experience: Minimum 7 years
Data Engineer with experience in digital channel activities, data engineering, and cloud technologies, particularly in AWS . This is an exciting opportunity to work on a project with a focus on integrating and processing channel activity data from multiple sources, including Terradata , and Hadoop environments. The ideal candidate will possess strong knowledge of AWS , Python , and has work experience in handling data from various sources such as Hadoop , and Terradata , working on large-scale data engineering solutions for data, and knowledge of data processing architecture.
Design, build, and maintain robust data pipelines for processing channel activity data, focusing on digital channels and integrating multiple sources of data such as Hadoop and Terradata.
Work on AWS cloud infrastructure (including services like Pyspark , Glue , EMR ,lambda , Redshift , Athena, and other services like Iceberg ) and orchestration tools like Airflow to ensure high availability, scalability, and performance.
Leverage Python for building automated data engineering solutions and data transformations.
Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed.
Contribute to architecture decisions related to data lakes , data warehouses , and big data ecosystems.
Ensure data quality, governance, and integrity across all data systems.
Engage in continuous learning and adapting of new technologies and industry best practices to improve data processes.
Skills & Experience Required:
Experience with Data Engineering : Proven experience working as a Data Engineer in greenfield environments (i.e., starting projects from scratch).
AWS : Strong hands-on experience with AWS technologies such as Pyspark , Glue , EMR ,lambda , Redshift , Athena, EC2 and S3 .
Python : Proficiency in Python for data processing, automation, and pipeline development.
Big Data Platforms : Experience with big data technologies like Hadoop and Terradata .
Strong Analytical Skills : Ability to analyse and interpret data from different digital channels.
Ability to work closely with cross-functional teams, including business analysts, data scientists, and stakeholders.
Strong problem-solving skills and ability to handle complex data-related challenges.
A degree in Computer Science , Engineering , or a related field.
Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
Experience in working on snowflake would be good to have.
Knowledge of ingesting real time data ( Apache Kafka ) would be advantage.

Total Experience:
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