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Job Summary We are looking for a Python Developer with solid SQL and data engineering skills to build and maintain data pipelines, automation frameworks, and cloud-based data integration solutions. The ideal candidate should have hands-on experience in Python programming, data processing, APIs, and database technologies. Exposure to cloud platforms, Snowflake, ETL tools, or enterprise systems such as SAP will be an added advantage. Key Responsibilities - Develop and maintain Python-based data ingestion and transformation frameworks. - Build scalable ETL/ELT pipelines for loading data into modern cloud data platforms. - Design and optimize SQL queries for large datasets. - Develop integrations with REST APIs, enterprise applications, and cloud services. - Automate data extraction, validation, reconciliation, and reporting processes. - Work with structured and semi-structured data including CSV, JSON, XML, and Parquet. - Collaborate with BI developers, data engineers, and business stakeholders. - Troubleshoot performance issues and optimize data processing workflows. - Participate in solution design, code reviews, and technical discussions. - Create and maintain technical documentation. Required Skills - Strong Python programming skills. - Strong SQL skills and database concepts. - Experience with libraries such as Pandas, NumPy, Requests, PyArrow, or similar. - Understanding of data structures, file processing, and data transformations. - Experience working with APIs and JSON data. - Familiarity with Git and version control. - Knowledge of data warehousing concepts. - Good understanding of debugging and performance optimization. Preferred Skills - Experience with Snowflake, Azure Data Factory, Databricks, or similar platforms. - Experience in SAP data extraction or enterprise application integration. - Knowledge of cloud platforms such as Azure, AWS, or GCP. - Experience with Docker and containerized deployments. - Familiarity with CI/CD pipelines. - Understanding of data lake and data warehouse architectures. - Exposure to orchestration tools such as Airflow. - Experience handling large-volume datasets. What We Look For - Strong problem-solving mindset. - Passion for data and automation. - Ability to work independently in a remote environment. - Willingness to learn emerging data technologies. - Ownership and accountability for deliverables. .
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.