Cloud Data Solutions Architect

5 days ago

Pune, Maharashtra, India Data Axle Full time

About Data Axle:


Data Axle Inc., a 50-year industry leader in data, marketing solutions, sales, and research, has set up a strategic global centre of excellence in Pune.


Job Description:


We are seeking a Senior Data Engineer to design, implement, and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.


Key Responsibilities:


• Design and implement an analytical data infrastructure for ad-hoc access to large datasets and computing power.


• Interface with technology teams to extract, transform, and load data from various data sources using SQL and AWS big data technologies.


• Develop and support real-time data pipelines built on AWS technologies, including Glue, Redshift/Spectrum, Kinesis, EMR, and Athena.


• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.


• Collaborate with team members to drive real-time model implementations for monitoring and alerting of risk systems.


• Work with tech teams to implement advanced analytics algorithms that exploit rich datasets for statistical analysis, prediction, clustering, and machine learning.


• Help improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.


Qualifications:


• 7+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.


• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.


• Demonstrated strength in data modeling, ETL development, and data warehousing.


• Experience using big data processing technology using Spark.


• Knowledge of data management fundamentals and data storage principles.


• Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI, etc.).


• Experience working with AWS big data technologies (Redshift, S3, EMR, Spark).


• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.


• Experience working with distributed systems as it pertains to data storage and computing.


• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

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