Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Pune
>
Data Axle
>
Data Engineer

Data Engineer

Data Axle

50 years

9 Lacs

Pune

Posted:2 months ago| Platform: GlassDoor logo

Apply

Skills Required

data marketing research technology design support interface extract sql aws redshift spectrum visualization drive model monitoring risk analytics algorithms analysis clustering reporting service software development engineering processing mathematics etl management storage tableau power extraction agile coding code testing

Work Mode

On-site

Job Type

Part Time

Job Description

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. Requirements: 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.

More Jobs at Data Axle

Intern

Pune, Maharashtra

Experience: Not specified

Salary: Not disclosed

Data Engineer

Pune

50.0 - 50.0 yrs

INR 9 - 9 Lacs

Associate, Collections

Pune, Maharashtra

50.0 - 50.0 yrs

Salary: Not disclosed

Associate Product Designer

Pune, Maharashtra

50.0 - 50.0 yrs

Salary: Not disclosed

Associate Search Engine Marketing

Pune, Maharashtra

50.0 - 50.0 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Data Axle

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Data Engineer