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Job Summary & ResponsibilitiesAbout Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now as an established 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 by leveraging proprietary business & consumer databases. Data Axle Pune is pleased to have achieved certification as a Great Place to Work! Roles & Responsibilities: We are looking for a Tech Lead Data Engineer who will be responsible for the following. 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 QualificationsQualifications: 9+ 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.Degree/Diploma in computer science, engineering, mathematics, or a related technical discipline.Experience working with AWS big data technologies (Redshift, S3, EMR, Spark, EKS, Glue, Kafka).Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.Demonstrated strength in data modeling, ETL development, and data warehousing.Experience using big data processing technology using Spark and PySpark.Knowledge of data management fundamentals and data storage principles.Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI etc.).SQL, Data Warehousing, End to End knowledge on AWS, and CI/CD. Preferred Qualifications: 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.Good to have web crawling and data extraction.Nice to have: Redshift, ETL tools (Talend, Informatica). 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: 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.