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Synechron

Data Engineer (Python/PySpark)

LocationBengaluru - Bellandur (GTP)
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedOct 7, 2026 · 5d ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
Must have13
5+ years of experience with Python
5+ years of experience with PySpark
Experience in building Data Marts, ETL pipelines, and large-scale data processing solutions
Strong expertise in Python
Strong expertise in PySpark
Strong expertise in SQL
Strong expertise in Data Warehousing
Experience with managed end-to-end SDLC activities from development to production support
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
Good understanding of software engineering best practices and coding standards
Nice to have2
Familiarity with Jupyter Notebook, CI/CD pipelines, testing, and data validation
Banking domain experience
Skills
Python
PySpark
Spark
Pandas
Oracle SQL
Hadoop
MapReduce
Hive
SQL
NoSQL databases
Jupyter Notebook
CI/CD tools
About the role
Job Title: Data Engineer (Python/PySpark) Experience: 5+ Years Location: Bangalore (BLR GTP)
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
Nice to have
Preferred Domain: Banking / Financial Services.
Legal
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.
Candidate Application Notice
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