Job Responsibilities of Data Engineer Job Opening at Motorola Solutions:

• Develop and maintain ETL pipelines using Python, NumPy, Pandas, PySpark, and Apache Airflow.
• Design and implement ETL solutions for reporting purposes
• Server-side development skills like multithreading, asynchronous IO, databases
• Knowledge of Azure DevOps and Github
• Work with large-scale data processing and transformation workflows.
• Optimize and enhance ETL performance and scalability.
• Collaborate with data engineers and business teams to ensure efficient data flow.
• Troubleshoot and debug ETL-related issues to ensure data integrity and reliability.

Required qualifications, capabilities, and skills:

• 0-2 years of Python experience, with good understanding of Python ETL development.
• Proficiency in PySpark, Apache Airflow, NumPy, and Pandas.
• Proficiency in working with SQL and  Bigquery
• Strong problem-solving skills and the ability to work independently.
• Proficiency in cloud-based ETL solutions (AWS, GCP, Azure).
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.

Responsibilities of an Data Analyst Job Opening at H&M :

• Main focus is the data analyst scope of the product/program/team where you are expected to contribute to the short- and long-term agenda.
• Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product/team, i.e., DS, DE, Business Expert, and Business teams.
• Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders.
• Framing the problem together with stakeholders, exploring large data sets; preparing data for own analysis.
• Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis input/outputs.
• Sharing knowledge in Communities of Practice, thereby enriching the collective understanding and fostering a culture of continuous learning.

Required skills, qualification and capabilities:

• Degree or relevant experience in Statistics, Engineering, Business, or a related field
• Proficient in SQL; experience with Python/R is a plus
• Proficient in Excel and experience in BigQuery.
• Previous knowledge of the GCP ecosystem is and advantage.
• Skilled in data visualization (e.g., Power BI) and statistical analysis
• Strong communication and teamwork skills

To be succeed in this role, you are expected: 

• A problem-solving mindset with the ability to turn complex business questions into data-driven solutions
• A strong sense of ownership and the ability to work independently
• A passion for business and a deep understanding of how data impacts decision-making
• The ability to communicate insights clearly to both technical and non-technical audiences
• A collaborative spirit and a drive to continuously improve and innovate

⚠️ Important Note:

There are no hidden fees to apply for this job opening. Any eligible candidate can apply directly.

About the Company