Senior Data Engineer
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What you'll do
- Develop and maintain data pipelines using Snowflake, PySpark, and Python.
- Build data transformations and models to support Collections data requirements.
- Work with AWS services and S3 for data ingestion and processing.
- Develop and optimize SQL queries and data workflows.
- Implement data quality checks, reconciliations, and monitoring processes.
- Support ETL/ELT development and production deployments.
- Troubleshoot and resolve data-related issues in production environments.
- Participate in code reviews, testing, and CI/CD practices.
- Collaborate with business and technology teams to deliver reliable data solutions.
What they're looking for
- Snowflake
- PySpark
- Python
- Advanced SQL
- AWS
- S3
- Data Pipelines
- ETL/ELT
- Data Modelling
- Data Quality & Reconciliation
- CI/CD
Nice to have
- EMR / EMR Serverless
- AWS Step Functions
- AWS Lambda
- Cards or Payments Domain Experience
- Banking Experience
- Exposure to PowerCurve Collections (PCC)
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Senior Data Engineer
Location: Offshore (India)
Experience: 7-10+ Years
Role Purpose
We are looking for a Senior Data Engineer to build and support data pipelines that connect Cards Modernisation, commbank.data, and Collections platforms. The role involves developing scalable data solutions using Snowflake, PySpark, Python, and AWS while ensuring data accuracy, quality, and reliability.
Key Responsibilities
Develop and maintain data pipelines using Snowflake, PySpark, and Python.
Build data transformations and models to support Collections data requirements.
Work with AWS services and S3 for data ingestion and processing.
Develop and optimize SQL queries and data workflows.
Implement data quality checks, reconciliations, and monitoring processes.
Support ETL/ELT development and production deployments.
Troubleshoot and resolve data-related issues in production environments.
Participate in code reviews, testing, and CI/CD practices.
Collaborate with business and technology teams to deliver reliable data solutions.
Mandatory Skills
Snowflake
PySpark
Python
Advanced SQL
AWS
S3
Data Pipelines
ETL/ELT
Data Modelling
Data Quality & Reconciliation
CI/CD
Preferred Skills
EMR / EMR Serverless
AWS Step Functions
AWS Lambda
Cards or Payments Domain Experience
Banking Experience
Exposure to PowerCurve Collections (PCC)
Ideal Candidate
Strong hands-on experience in production data engineering environments.
Experience building scalable, secure, and high-quality data pipelines.
Strong troubleshooting and problem-solving skills.
Ability to work in Agile and enterprise environments.
Banking, Cards, or Financial Services experience will be an added advantage.
SYNECHRON’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.
Company
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