Data Engineer (Python/PySpark)
Role Overview
We are looking for a skilled Data Engineer with 5+ years of experience in building Data Marts, ETL pipelines, and large-scale data processing solutions.
The ideal candidate should have strong expertise in Python, PySpark, SQL, and Data Warehousing, with experience in managing end-to-end SDLC activities from development to production support.
Key Skills for This Role
Full Job Posting
Job Description
We are looking for a skilled Data Engineer with 5+ years of experience in building Data Marts, ETL pipelines, and large-scale data processing solutions. The ideal candidate should have strong expertise in Python, PySpark, SQL, and Data Warehousing, with experience in managing end-to-end SDLC activities from development to production support.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/Data Pipeline solutions using Python and PySpark.
- Build and optimize Data Marts and data transformation processes.
- Perform end-to-end SDLC activities including development, UAT support, bug fixes, production deployment, and post-production support.
- Analyze and debug data issues using Oracle SQL, PySpark, and data analysis techniques.
- Work with structured, semi-structured, and unstructured data.
- Collaborate with cross-functional teams to ensure data quality, testing, and CI/CD implementation.
- Support production environments and troubleshoot data pipeline issues.
Required Skills:
- Strong hands-on experience in Python, PySpark, Spark, Pandas.
- Expertise in ETL development and Data Warehousing concepts.
- Strong knowledge of Oracle SQL, data analysis, and query optimization.
- Experience with Hadoop, MapReduce, Hive, SQL and NoSQL databases.
- Familiarity with Jupyter Notebook, CI/CD pipelines, testing, and data validation.
- Good understanding of software engineering best practices and coding standards.
- Banking domain experience is highly preferred.
Technology Stack:
Python
PySpark / Spark
SQL & NoSQL Databases
Oracle
Hadoop / Hive / MapReduce
Pandas
Jupyter Notebook
CI/CD Tools
Preferred Domain: Banking / Financial Services.
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
Qualifications
- Strong hands-on experience in Python, PySpark, Spark, Pandas.
- Expertise in ETL development and Data Warehousing concepts.
- Strong knowledge of Oracle SQL, data analysis, and query optimization.
- Experience with Hadoop, MapReduce, Hive, SQL and NoSQL databases.
- Familiarity with Jupyter Notebook, CI/CD pipelines, testing, and data validation.
- Good understanding of software engineering best practices and coding standards.
- Python
- PySpark / Spark
- SQL & NoSQL Databases
- Oracle
- Hadoop / Hive / MapReduce
- Pandas
- Jupyter Notebook
- CI/CD Tools
- 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
Preferred Qualifications
- Banking domain experience is highly preferred.
- Preferred Domain: Banking / Financial Services.
About Synechron
Providing digital transformation and technology consulting for financial services.
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