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Software Engineer - Python with ML and Data Analytics Job Opening In Brookefield – Now Hiring HARMAN International


Job description

HARMAN’s engineers and designers are creative, purposeful and agile.

As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem.

Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better.

Innovation, inclusivity and teamwork are a part of our DNA.

When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow.

At HARMAN Automotive, we give you the keys to fast-track your career.

  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment
  • About the Role

    We're seeking a highly skilled and motivated Python Data Analytics Engineer with 3 to 6 years of experience to join our team.

    You'll play a critical role in working with big data, performing machine learning, and analyzing data using Python.

    What You Will Do

    1.

    Data Analytics: Work with big data using Python libraries like PySpark, NumPy, and Pandas.

    2.

    Machine Learning: Develop and implement machine learning models to analyze data and drive insights.

    3.

    Data Analysis: Analyze complex data sets to identify trends, patterns, and correlations.

    4.

    Python Development: Develop and maintain Python-based data analytics scripts and tools.

    5.

    Data Visualization: Create visualizations to communicate insights and findings to stakeholders.

    What You Need to Be Successful

    1.

    Technical Skills:

    - Hands-on experience with Python programming

    - Strong knowledge of data analytics libraries like PySpark, NumPy, and Pandas

    - Experience with machine learning algorithms and techniques

    - Ability to work with large-scale data sets

    2.

    Experience:

    - 3 to 6 years of experience in data analytics and Python development

    Bonus Points if You Have

    1.

    Experience with Big Data Tools: Familiarity with big data tools like Hadoop, Hive, or Spark

    2.

    Knowledge of Statistical Modeling: Understanding of statistical modeling techniques and methodologies

    3.

    Data Visualization Tools: Experience with data visualization tools like Matplotlib, Seaborn, or Plotly

    What Makes You Eligible

    1.

    Relevant Experience: 3 to 6 years of experience in data analytics and Python development.

    2.

    Technical Expertise: Strong technical skills in Python programming, data analytics, and machine learning.

    3.

    Problem-Solving Abilities: Ability to analyze complex problems and develop effective solutions.

    4.

    Communication Skills: Ability to communicate technical concepts and insights effectively to stakeholders.

    What We Offer

     - Competitive salary and benefits package

    - Opportunities for professional growth and development

    - Collaborative and dynamic work environment

    - Access to cutting-edge technologies and tools

    - Recognition and rewards for outstanding performance through BeBrilliant

    - Chance to work with a renowned German OEM

    - You are expected to work all 5 days in a week in office

    You Belong Here

    HARMAN is committed to making every employee feel welcomed, valued, and empowered.

    No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique.

    We also recognize that learning is a lifelong pursuit and want you to flourish.

    We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

    About HARMAN: Where Innovation Unleashes Next-Level Technology

    Ever since the 1920s, we’ve been amplifying the sense of sound.

    Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

    Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences.

    Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands.

    Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

    If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

    HARMAN is proud to be an Equal Opportunity / Affirmative Action employer.

    All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Software Engineer Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at HARMAN International adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying India laws and regulations

    What Is the Average Salary Range for Software Engineer Python with ML and Data Analytics Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Brookefield. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Software Engineer Python with ML and Data Analytics typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Software Engineer Python with ML and Data Analytics Job Success

    HARMAN International interview tips for Software Engineer   Python with ML and Data Analytics

    Here are some tips to help you prepare for and ace your Software Engineer Python with ML and Data Analytics job interview:

    Before the Interview:

    Research: Learn about the HARMAN International's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

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