Jobs at ARM Hold Co

Summary

• The Data Engineer will be responsible for designing, building, and maintaining scalable and robust data pipelines, ensuring the efficient and reliable flow of data throughout the organization.

Responsibilities

• Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources, ensuring efficient and reliable data flow.
• Develop and implement data integration solutions using ETL (Extract, Transform, Load) tools and techniques.
• Collaborate with data analysts, data scientists, and other stakeholders to understand and translate their data needs into technical requirements.
• Optimize and improve existing data pipelines and architectures to ensure high performance, reliability, and maintainability.
• Implement data validation, cleansing, and error-handling processes to ensure data quality and consistency across the organization.
• Design and implement data storage solutions, such as databases, data warehouses, and data lakes, ensuring scalability, security, and accessibility.
• Monitor and maintain the performance and reliability of data pipelines and systems, troubleshooting and resolving any issues that arise.
• Stay current with industry trends, advancements in big data technologies, and emerging data engineering best practices.
• Develop and maintain thorough documentation of data pipelines, architectures, and processes, ensuring that knowledge is preserved and accessible to the team.
• Collaborate with cross-functional teams, providing support and guidance on data engineering best practices, tools, and technologies.

Requirements

•  Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is a plus.
• 3-5 years of experience in data engineering, big data, or a related field, with a proven track record of building and maintaining data pipelines and systems.
• Strong proficiency in programming languages (e.g., Python, Java, Scala) and SQL.
• In-depth knowledge of database management systems (e.g., SQL Server, MySQL, PostgreSQL) and data warehousing concepts.
• Familiarity with ETL tools, such as SSIS, Azure Data factory or Apache Airflow.
• Excellent problem-solving skills and the ability to debug and optimize complex data pipelines.
• Strong understanding of data architecture principles and best practices.
• Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• A proactive and curious mindset, with a passion for driving data-driven decisions and staying current with industry trends and technologies.

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Summary

• The incumbent will be responsible for turning complex data sets into actionable insights to support data-driven decision-making across the organization.

Responsibilities

• Collect, clean, and validate data from various sources, ensuring the accuracy, consistency, and reliability of data sets.
• Perform in-depth data analysis using advanced statistical tools and techniques to identify trends, patterns, and correlations in complex data sets.
• Develop and maintain data models, reports, and dashboards, using data visualization tools such as Tableau or Power BI, to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams to define key performance indicators (KPIs), understand their data needs, and develop data-driven solutions to support decision-making.
• Design and implement data collection systems, strategies, and procedures to improve data quality and efficiency.
• Monitor and maintain data quality and integrity by identifying and addressing inconsistencies and errors in data sets.
• Continuously improve data analysis processes and methodologies to ensure efficiency, effectiveness, and alignment with industry best practices.
• Stay current with industry trends, advancements in data analytics tools and technologies, and emerging data analysis techniques.
• Mentor and provide guidance to entry-level data analysts, assisting them in developing their skills and knowledge.
• Lead and manage data-related projects, ensuring timely delivery and alignment with stakeholder expectations.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 3-5 years of experience in data analysis or a related field, with a proven track record of delivering data-driven insights.
• Advanced proficiency in programming languages (e.g., Python, R, SQL) and experience with data analysis tools and libraries (e.g., Excel, Tableau, Power BI).
• Strong knowledge of statistical concepts, data analysis techniques, and machine learning algorithms.
• Excellent analytical and problem-solving skills, with the ability to draw conclusions from complex data sets and provide actionable recommendations.
• Exceptional attention to detail and commitment to data accuracy.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong organizational and project management skills, with the ability to manage multiple tasks and priorities simultaneously.
• Experience working with database management systems (e.g., SQL Server, MySQL, PostgreSQL) and ETL processes.
• A proactive and curious mindset, with a passion for using data to drive business decisions.