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Salary
≈ $17k – $34k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 7, 2026. Synechron scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Synechron is an American technology consulting and services company founded in 2001 that works almost entirely with banks, capital markets firms, insurers and asset managers. Its consultants deliver digital transformation, cloud migration, data engineering, risk and regulatory technology, and increasingly artificial intelligence programmes inside client organisations, supported by innovation labs that build accelerators for common financial services problems. Headquartered in New York, the firm employs more than fourteen thousand people across offices in North America, Europe, the Middle East and Asia and has expanded through acquisitions of specialist financial technology consultancies.

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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