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Company Overview : Coders Brain Technology & Private Limited is a global technology consulting and staffing firm that specializes in providing high-end digital transformation solutions. The company operates across diverse sectors including banking, healthcare, retail, and manufacturing, helping enterprises modernize their IT infrastructure and data ecosystems. With a focus on agility and technical excellence, Coders Brain partners with Fortune 500 companies to deliver scalable software development and data-driven insights on a global scale. Role Overview : We are seeking a seasoned Data Engineer to join our Bangalore team to architect and maintain robust data pipelines that power our clients' analytical capabilities. In this role, you will bridge the gap between raw data and actionable business intelligence by designing scalable ETL processes and optimizing data storage solutions. You will collaborate closely with cross-functional teams, including data scientists, business analysts, and infrastructure engineers, to ensure high data availability and integrity. Your work will directly influence the strategic decision-making processes of our clients by providing them with reliable, high-performance data architectures. Key Responsibilities : - Design and implement complex ETL/ELT pipelines using IICS to ensure seamless data integration across disparate enterprise systems. - Develop and maintain high-performance data processing scripts using Python to automate data transformation and ingestion tasks. - Optimize SQL queries and database schemas to improve the performance and scalability of large-scale data warehouses. - Collaborate with stakeholders to translate complex business requirements into technical data specifications and scalable architecture designs. - Monitor and troubleshoot data pipeline performance to ensure data quality, consistency, and timely delivery for downstream reporting and analytics. - Mentor junior team members on best practices in data engineering, code quality, and system documentation to foster a culture of technical excellence. Required Skillset: - Demonstrated expertise in building and managing end-to-end data pipelines with 7 - 11 years of professional experience in the data engineering domain. - Advanced proficiency in Python for data manipulation and automation, alongside deep expertise in SQL for complex query optimization and database management. - Hands-on experience with IICS (Informatica Intelligent Cloud Services) for cloud-based data integration and orchestration. - Strong analytical mindset with the ability to solve complex data architecture challenges and communicate technical solutions to non-technical stakeholders. - Proven ability to work effectively in a hybrid or on-site environment in Bangalore, demonstrating self-motivation and the ability to manage multiple project streams simultaneously. - Excellent interpersonal skills with a track record of collaborating effectively within diverse, global project teams to achieve project milestones. .
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.