Motorola is Hiring Data Engineer | Finsplitz

Introduction

Are you a skilled data professional passionate about building robust data infrastructure and enabling data-driven insights? Motorola, a global leader in critical communications, video security, and analytics, is actively seeking talented Data Engineers to join its innovative teams in India. This is an exciting opportunity to work with large-scale data, develop advanced ETL pipelines, and contribute to solutions that enhance public safety and enterprise operations. If you thrive on transforming raw data into actionable intelligence and are eager to leverage cutting-edge big data and cloud technologies, Motorola offers a dynamic environment for significant professional growth.

It’s important to note that most Data Engineer roles at “Motorola” in India are typically associated with Motorola Solutions, which focuses on mission-critical communications and software solutions for public safety and enterprise customers. While Motorola Mobility (smartphones) is also present, the data engineering roles tend to align more with the vast datasets generated by Motorola Solutions’ diverse products and services.

Roles and Responsibilities

As a Data Engineer at Motorola Solutions, you will play a critical role in designing, building, and optimizing the data pipelines and infrastructure that power analytical and AI/ML initiatives. Your responsibilities will typically include:

• ETL Pipeline Development & Maintenance: Developing, testing, and maintaining robust and scalable ETL (Extract, Transform, Load) pipelines using programming languages like Python (with libraries such as NumPy, Pandas, PySpark) and orchestration tools like Apache Airflow.
• Data Modeling & Warehousing: Designing and implementing efficient data models and schema designs for data warehouses or data lakes to support reporting, analytics, and machine learning applications.
• Big Data Processing: Working with large-scale data processing and transformation workflows using big data technologies such as Hadoop, Spark, or Kafka.
• Cloud-based Solutions: Developing and deploying cloud-native ETL solutions and data pipelines on major cloud platforms like AWS, GCP (especially BigQuery), or Azure.
• SQL and Database Management: Writing and optimizing SQL queries, working with various databases, and ensuring data integrity and reliability.
• Performance Optimization: Optimizing and enhancing the performance, scalability, and reliability of existing and new data pipelines and data systems.
• Troubleshooting and Debugging: Identifying, troubleshooting, and debugging ETL-related issues to ensure data accuracy and timely availability.
• Collaboration: Collaborating closely with data scientists, software engineers, product managers, and business teams to understand data requirements, integrate data sources, and deliver high-quality data solutions.
• Documentation: Creating and maintaining detailed documentation for data pipelines, data models, and data governance processes.
• Automation: Driving automation in data processes, testing, and deployment using tools like Azure DevOps and GitHub.

Salary and Benefits

Motorola (specifically Motorola Solutions) offers a competitive compensation package for Data Engineers in India, structured to attract and retain top talent. While exact figures depend on experience, role level (e.g., entry-level, experienced, senior), and specific skill sets, here’s an overview:

• Competitive Base Salary:
  • For Entry-Level Data Engineers (0-2 years experience), the expected annual CTC often ranges from ₹6 lakhs to ₹14 lakhs per annum.
  • The overall average salary for an Engineer at Motorola Solutions in India is reported around ₹22.2 lakhs per annum, with experienced professionals ranging from ₹16.1 lakhs to ₹50.0 lakhs per annum.
  • For Big Data Engineers (with relevant experience) at Motorola Solutions, reported CTCs can be around ₹21 lakhs per annum.
• Performance-based Bonuses: Opportunities for annual bonuses based on individual performance and company results.
• Comprehensive Health & Wellness: Includes robust medical, dental, and vision insurance for employees and their families, life assurance, and various well-being programs.
• Retirement Benefits: Provident Fund (PF) contributions and other retirement savings plans.
• Paid Time Off: Generous leave policies, including annual leave (up to 30 working days), sick leave, and public holidays.
• Employee Stock Purchase Plan: Opportunities to purchase company stock, aligning employee interests with company performance.
• Learning and Development: Motorola places a strong emphasis on continuous learning, providing access to educational assistance policies, career development support, and internal training programs to help employees upskill and advance.
• Work-Life Balance: Commitment to a supportive work environment and flexible work arrangements (including hybrid models for many roles).
• Relocation Assistance: For eligible candidates, relocation support might be provided.
• Corporate Social Responsibility: Opportunities to participate in corporate social responsibility initiatives.

Eligibility Criteria

Motorola seeks Data Engineers with a strong technical background, problem-solving prowess, and a collaborative spirit. Typical eligibility criteria include:

• Educational Qualification: A Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related quantitative field.
• Experience:
  • For entry-level/fresher roles: 0-2 years of experience.
  • For experienced roles: Typically 3+ years of hands-on experience in data engineering, ETL development, or big data technologies.
• Technical Skills:
  • Programming: Strong proficiency in Python is often a must-have, with experience in libraries like PySpark, NumPy, and Pandas.
  • SQL: Excellent command of SQL for data manipulation, querying, and database interaction.
  • Big Data Technologies: Experience with big data frameworks such as Apache Spark, Apache Hadoop, or Kafka.
  • ETL Tools & Orchestration: Hands-on experience with ETL development and orchestration tools like Apache Airflow.
  • Cloud Platforms: Proficiency in cloud-based ETL solutions and data services on at least one major cloud provider (AWS, GCP, or Azure). Experience with Google BigQuery is frequently mentioned for GCP-centric roles.
  • Databases: Understanding of various database systems (relational and NoSQL).
  • Version Control: Familiarity with version control systems like Git (e.g., GitHub, Azure DevOps).
  • Server-side Development (advantageous): Knowledge of concepts like multithreading and asynchronous I/O can be beneficial.
• Soft Skills:
  • Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues independently.
  • Communication: Excellent written and verbal communication skills for effective collaboration with technical and non-technical teams.
  • Teamwork: Ability to work effectively in an Agile, collaborative team environment.
  • Proactive Learning: Eagerness to learn new technologies and adapt to evolving data landscapes.

Application Process

Ready to shape the future of data at Motorola? Here’s how to apply for a Data Engineer position:

1. Online Application: Visit the official Motorola Solutions Careers website (https://www.google.com/search?q=careers.motorolasolutions.com) or relevant job portals. Search for “Data Engineer” roles in India, specifically in locations like Bengaluru.
2. Resume Submission: Prepare a detailed resume that highlights your academic background, relevant projects (personal or professional), internships, and practical experience with the required programming languages, big data tools, and cloud platforms. Quantify your achievements where possible.
3. Online Assessment (if applicable): Some roles, especially for freshers or junior levels, may include an online coding assessment to evaluate your programming and problem-solving skills.
4. Interview Scheduling: Candidates who successfully clear the initial screening and/or online assessment will be invited for interview rounds.

Interview Process

The interview process for a Data Engineer at Motorola typically involves multiple rounds to thoroughly assess your technical depth, problem-solving skills, and cultural fit. It usually includes:

• Recruiter Phone Screen: An initial discussion about your background, career interests, and a brief overview of the role.
• Technical Interview(s) (1-3 rounds): These rounds are highly technical and will cover:
  • Coding & Data Structures/Algorithms: Expect live coding challenges in Python, focusing on data manipulation, algorithms, and efficient code.
  • SQL: In-depth questions on writing complex SQL queries, understanding database concepts (joins, indexing, normalization, performance tuning), and possibly stored procedures.
  • Data Engineering Concepts: Questions on ETL pipeline design, data warehousing concepts (e.g., fact and dimension tables, SCDs), data modeling, and data governance.
  • Big Data Technologies: Discussions on Hadoop, Spark, Kafka, and their ecosystem. Be prepared to explain how these technologies solve specific data challenges.
  • Cloud Platforms: Questions related to data services on AWS, GCP (BigQuery, Dataflow), or Azure, and how you would design data solutions in a cloud environment.
  • System Design: For more experienced roles, you might be asked to design a scalable data pipeline or a data warehouse from scratch, discussing components, trade-offs, and scalability considerations.
• Managerial Round: This round typically involves the hiring manager or a senior engineering leader. It assesses your project experience, leadership potential (for senior roles), problem-solving approach in a team context, and your ability to work collaboratively. Behavioral questions are common (e.g., “Tell me about a challenging project,” “How do you handle conflicts?”).
• HR Round: The final round focuses on cultural fit, your understanding of Motorola’s mission, career aspirations, compensation expectations, and any final questions you may have.

Throughout the process, demonstrate your deep technical knowledge, structured problem-solving approach, clear communication, and passion for working with data to create impact.

Conclusion

Joining Motorola as a Data Engineer offers an exciting opportunity to leverage your expertise in a company that is innovating for a safer world. With a focus on big data, cloud technologies, and critical communication solutions, you will be part of a team that transforms raw data into vital insights. If you are a driven data professional looking for a challenging and rewarding career, explore the Data Engineer opportunities at Motorola today!