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Description Job Description As a Lead Data Engineer, you will be responsible for overseeing the design, development, implementation, and maintenance of the data infrastructure and pipelines within the organization. You will lead a team of data engineers and collaborate with cross-functional teams to ensure the efficient and effective management of data assets. This role requires a strong understanding of data engineering principles, excellent technical skills, and the ability to provide technical leadership. Responsibilities Lead and manage a team of data engineers, providing guidance, mentoring, and support to ensure successful project delivery. Collaborate with stakeholders, including data scientists, analysts, and product managers, to understand data requirements and translate them into technical solutions. Design and develop scalable, reliable, and efficient data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes. Implement and maintain data governance and data quality frameworks to ensure data accuracy, integrity, and compliance with privacy regulations. Optimize data infrastructure and architecture to improve data processing performance and reduce latency. Identify and evaluate new technologies, tools, and frameworks to enhance data engineering capabilities and drive innovation. Collaborate with infrastructure and operations teams to ensure the availability, reliability, and security of data platforms. Define and enforce coding standards, best practices, and development methodologies to ensure high-quality code and maintainable solutions. Conduct performance reviews, provide feedback, and support the professional growth and development of team members. Stay up-to-date with industry trends, emerging technologies, and advancements in data engineering to drive continuous improvement and innovation within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology or any other field, preferably from a premium/Tier-1 college or institute/university. Proven experience in data engineering, with a focus on designing and implementing data pipelines, ETL processes, and data warehousing solutions. Good experience in Azure Data Factory, Data Lake, Azure Synapse,Databricks, building data models/data marts to be used in Power BI Skilled in end-to-end ETL/ELT process. with Bigdata eco systems Strong Hands-on experience in writing efficient code in Python/Pyspark to manipulate data and draw insights and have used libraries such as - Pandas, Numpy, Matplotlib, modin, Dask, scikit-learn etc. A successful history of manipulating, processing and extracting value from large disconnected datasets, including MariaDB, Mongo, Elasticsearch index. Familiar with data extraction using third party APIs Proficiency in working with relational databases (SQL) and NoSQL databases. Excellent problem-solving and analytical skills with the ability to translate complex business requirements into technical solutions. .
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.