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    AWS Data Engineer - chennai, India - LexisNexis

    LexisNexis
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    Description

    Software Engineer III

    Do you enjoy designing analytic solutions at an enterprise scale for global customers?

    Do you have experience in working on complex problems?

    About our Team

    Our product analytics team focuses on using data to understand and enhance the user experience of our customer facing products. We gather and analyze user interaction data from various sources to track how users engage with a product. The insights derived from this analysis help identify usage patterns, pinpoint areas for improvement, and influence product development decisions. By constantly monitoring key metrics related to the product usage, the product analytics team plays a crucial role in driving product strategy, optimizing user engagement, and ultimately contributing to the product's success.

    About the role

    The role in focus involves designing and implementing robust data pipelines utilizing AWS, Python, and SQL to underpin product analytics and decision-making. As a data engineer, you'll ensure the integrity and performance of data processing and storage systems, optimize data flows within AWS for enhanced performance, and develop efficient ETL processes and APIs. Collaboration with cross-functional teams will be crucial to gather and address technical requirements, while ongoing responsibilities include maintaining and enhancing data models, troubleshooting data issues, and documenting all procedures for future reference and compliance. This role demands a proactive approach to integrating new technologies and continuous improvement of systems to support the data management team in both daily operations and strategic projects.

    Responsibilities:


    • Design and implement robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making processes.


    • Ensure data integrity and performance of data processing and storage systems.


    • Optimize data flows and architecture within AWS to enhance performance and scalability.


    • Develop and maintain scalable and efficient ETL processes and APIs for data interaction.


    • Collaborate with cross-functional teams to gather and address technical and design requirements.


    • Maintain and enhance data models and databases to support new and existing products.


    • Monitor and troubleshoot operational or data issues in the data pipelines.


    • Continuously improve systems and processes by integrating new tools and technologies.


    • Document all data engineering procedures and solutions for future reference and compliance.


    • Support data management team in daily operations and long-term projects

    Requirements:

    Expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.


    • Proficiency in Python, with a good understanding of libraries for data engineering such as Pandas and PySpark.


    • Strong command of SQL for creating, managing, and optimizing data structures and complex queries.


    • Familiarity with orchestration tools like Airflow and data integration techniques.


    • Understanding of data warehousing solutions and ETL processes.


    • Knowledge of data modeling and database design.


    • Ability to write clean, maintainable code, adhering to best practices in code quality and security.


    • Experience with CI/CD pipelines for data operations in an AWS environment is a plus.


    • Good grasp of Agile methodologies and project management practices.

    QUALIFICATIONS:


    • Minimum of 3 years of experience in data engineering or a related field.


    • Strong proficiency in building and maintaining data pipelines in AWS environments.


    • Experience with Python for scripting and data manipulation.


    • Advanced SQL knowledge for complex querying and database interaction.


    • Bachelor's degree in computer science, Engineering, or a related field is preferred; equivalent practical experience is also considered.


    • Demonstrated ability to design and implement effective data solutions in cloud environments.

    About Us

    RELX is a global provider of information-based analytics and decision tools for professional and business customers. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. The Group serves customers in more than 180 countries and has offices in about 40 countries. It employs over 33,000 people, of which around 1/4th are technologists.

    We want RELX to be a great place to work, where our employees feel valued, have equal opportunities and benefit from pay equality, regardless of their gender, gender identity, national origin, race, ethnicity, religion, sexual orientation, age or disability status. Inclusion and diversity are important to our future. We need the engagement of people from a wide range of backgrounds, experiences and ideas to achieve real innovation for our customers around the world.

    About LexisNexis

    We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and monitoring relevant news. We partner with leading global associations and customers to help advance the Rule of Law across the world.

    Every day at LexisNexis, you will work with highly creative minds to explore impossibilities, inspire innovation, and lead the way 21st century legal content is produced, disseminated, and utilised. You have the power to empower those in need and truly make a difference to the lives of people all around the world.



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