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    Job · 21218215

    BENGALURU · FULLTIME

    Data Engineer - Python | 5+ Year

    Apexone

    Apexone

    Bengaluru · onsite · Posted 5d ago

    Sourced fromNaukri
    Undisclosed5–8 yrsfulltimeBengaluru

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    Section · 01

    About this role


    • Role : Python Data Engineer & Automation Developer
    • Experience: 5 to 7 years
    • Location: Bangalore
    • Work Model: 5 Days Working from Office

    Python Development & Data Engineering

    • ETL/ELT Pipeline Development: Design, develop, and maintain robust, reusable Python-based ETL/ELT pipelines to extract, transform, and load data from cloud data warehouses, specifically Snowflake.
    • Data Modeling & Reconciliation: Build and optimize scalable data models, handling complex business logic, historical data snapshotting, and rigorous data reconciliation.
    • Programmatic Charting & Visualization: Design and generate complex financial charts (stacked bar, line, area, and matrix heatmaps) programmatically using Python visualization libraries to embed directly into automated PDF reports.
    • Automated Document Generation: Develop programmatic document generation engines (e.g., PDF/report generation using ReportLab, WeasyPrint, or FPDF2) and automate secure distribution workflows.
    • General Automation & Scripting: Write clean, modular, and well-documented Python code to support diverse backend engineering, automation, and scripting tasks.
    • API Integration: Design, build, and integrate custom REST APIs and connectors to sync data across disparate enterprise systems.
    • Workflow Orchestration: Automate, schedule, and monitor end-to-end data workflows and system processes to ensure high availability and reliability.
    • Performance Optimization: Troubleshoot, debug, and optimize database queries and Python scripts for maximum performance.

    Required Qualifications

    • Bachelors degree in Computer Science, Information Systems, Software Engineering, Data Analytics, or a related field.
    • 5–7 years of professional experience in Python development, data engineering, or backend software automation.
    • 3+ years of hands-on experience writing complex SQL queries and working with cloud data warehouses (Snowflake preferred).
    • Strong proficiency in Python data manipulation libraries (Pandas, NumPy) and database connectors (Snowflake Connector for Python).
    • Strong hands-on experience with Python data visualization libraries such as Matplotlib, Seaborn, Plotly (static export), or ReportLab Drawing/Charts.
    • Proven experience with programmatic document generation, HTML/CSS templating (e.g., WeasyPrint), or automated reporting solutions.
    • Solid understanding of data modeling, ETL/ELT processes, API integrations, and software design patterns.
    • Strong analytical, debugging, and problem-solving skills with excellent attention to detail.

    Preferred Qualifications

    • Experience working in Banking, Financial Services, Capital Markets, or other highly regulated environments.
    • Experience with cloud orchestration tools (AWS Lambda, or Snowflake Tasks).
    • Familiarity with CI/CD pipelines, version control (Git), and agile development methodologies.
    • Power Platform, Power BI familiarity is a huge plus.

    Interview Process

    • 1st Round – Assessment Test
    • 2nd Round – Technical Interview with Panel
    • 3rd Round - Client Discussion

    Our Commitment to Diversity & Inclusion:

    Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK (for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

    Our Commitment to Environment:

    Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

    Our Perks and Benefits:

    Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience, and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

    We also offer:

    • Group Health Insurance covering family of 4
    • Term Insurance and Accident Insurance
    • Paid Holidays & Earned Leaves
    • Paid Parental Leave
    • Learning & Career Development
    • Employee Wellness

    Sourced from naukri

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    Section · 02

    Skills

    Data Engineerworkflow orchestrationperformance optimizationdata transformationPythonSQLData WarehousingSnowflakeETLData ModelingAPI IntegrationData Pipeline

    Section · Company

    About Apexon

    Apexone

    Apexone

    IT Services & Consulting

    2.7k+

    employees

    1996

    30 years old

    Santa Clara, California

    United States (USA)

    ₹11.7L PA avg

    Avg at Apexon

    About

    Apexon is a digital technology services & platform solutions company that provides solutions in the areas of digital experience, analytics, AI & cloud.

    Industries

    IT Services & ConsultingAnalytics & KPOSoftware Product

    Employee ratings

    10 reviews

    3.3/ 5

    Culture

    3.3

    Career growth

    3.1

    Work-life

    3.4

    Employees rate it well for

    Company Culture33Work-Life Balance33

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