Synechron

Data Engineer (Python/PySpark)

Synechron Bengaluru, Karnataka, India

Technology, Information and Internet · 10,001+ employees

Oct 07
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and maintain scalable ETL and data pipeline solutions using Python and PySpark. Manage end-to-end SDLC activities including development, UAT support, bug fixes, and production deployment.

What they look for

Python PySpark Spark SQL Data Warehousing ETL Oracle SQL Pandas Hadoop MapReduce Hive NoSQL Jupyter Notebook CI/CD Data Analysis Query Optimization

Requirements

Requires 5+ years of experience in data engineering with strong expertise in Python, PySpark, and SQL. Candidates should have a background in data warehousing and experience working with structured and unstructured data.

Benefits

Flexible workplace arrangements Mentoring Internal mobility Learning and development programs

Full description

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

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.

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