About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for 50 years in the US. Data Axle has set 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.
Roles & Responsibilities:
We are looking for a Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
- 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.
- Creation and support of 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.
- Working 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 self-service support for customers.
Preferred Qualifications
- 3-5+ 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.
Skills Required
- Design and support analytical data infrastructure and real-time pipelines
- Experience with SQL for data extraction and transformation
- Experience with AWS big data technologies (Glue, Redshift/Spectrum, Kinesis, EMR, Athena, S3)
- Experience building/operating highly available distributed data extraction, ingestion, and processing systems
- 3-5+ years industry experience in software development, data engineering, BI, data science, or related
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related
- Demonstrated strength in data modeling, ETL development, and data warehousing
- Experience using big data processing technology using Spark
- Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI)
- Knowledge of software engineering best practices across the development lifecycle (agile, code reviews, source management, testing, operations)
Data Axle India Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Data Axle India and has not been reviewed or approved by Data Axle India.
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Flexible Benefits — Work flexibility, hybrid or remote support, and flexible scheduling are consistently highlighted as part of the package. These policies are positioned to support work-life balance and day-to-day autonomy.
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Leave & Time Off Breadth — Paid time off, sick leave, bereavement leave, and generous PTO are described in benefits listings. Time-off options appear relatively comprehensive alongside flexible work policies.
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Wellbeing & Lifestyle Benefits — Wellness initiatives and an Employee Assistance Program are part of the offering, with additional perks such as snacks and drinks noted. These components indicate attention to wellbeing beyond core compensation.
Data Axle India Insights
What We Do
For nearly 50 years Data Axle has been providing solutions leveraging a comprehensive real-time data engine that is built on principles of integrity and accuracy. Our unrivalled data is constructed with a proprietary blend of artificial intelligence and human verification. Our world-class products and services empower our partners and clients to acquire, understand, and retain customers with continuous performance improvement. As we continue to grow and scale, we are expanding our global team with the opening of a major office in Pune, India – our 19th office in our 5th country. DISCLAIMER : Data Axle India follows a merit-based employee recruitment practice with extensive screening steps. Data Axle India does not charge/accept any amount or security deposit from job seekers during the recruitment process. Job Seekers are requested to be aware of unsolicited or fraudulent communication regarding a job offer or an interview call against payment of money, please stay alert. All Data Axle jobs are published on the Careers page of its website and/or on its LinkedIn profile. Interested job seekers may access the same and apply directly. If you believe you have been a victim of recruitment fraud, you are requested to approach law enforcement agencies immediately.
