Job Description

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About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the US. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA.
General Summary:
We are looking for a Associate Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
Roles & Responsibilities: * Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Create and support real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena.
• Continually research the latest Big Data and visualization technologies to provide new capabilities and increase efficiency.
• Work closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
• Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying customer self-service support.

Requirements:
Qualifications: * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.

• Strong foundation in data modelling, ETL development, and data warehousing. Familiarity with Spark and AWS big data technologies (e.g., Redshift, S3, EMR, Spark).
• Ability to manipulate, process, and extract value from large datasets, with a passion for data-driven decision-making.
• Enthusiasm for researching and implementing the latest technologies in Big Data and visualisation.
• Knowledge of data management fundamentals and data storage principles.
• Strong team player with excellent communication skills, capable of working closely with other tech teams to achieve shared goals.
• Knowledge of AWS big data technologies (Redshift, S3, EMR, Spark).
• Willingness to continually learn and adapt in a fast-paced environment, with a focus on software engineering best practices.
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.

Disclaimer:
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