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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Job Title- Architect / POD Lead – Data Engineering Location : Bangalore – Electronic City Experience: 13–16 Years Key Responsibilities: Design and architect scalable data platforms, data pipelines, and data engineering solutions. Define and implement batch processing frameworks using Spring Batch and other relevant technologies. Design data ingestion, transformation, processing, and storage patterns. Drive data integration using Kafka, Google Pub/Sub, APIs, and event-based integrations. Ensure data quality, consistency, validation, lineage, and traceability. Define failure handling, recovery, and monitoring strategies for data pipelines. Drive automation using Python and Bash scripting and optimize pipeline performance and scalability. Lead the Data Engineering POD and drive architecture decisions, design reviews, and technical best practices. Collaborate with Data, Platform, Product, and other technology teams to deliver solutions. Mentor engineers and support the development of strong data engineering capabilities. Remove technical blockers and ensure smooth delivery of POD activities. Design and deploy GCP resources using Infrastructure as Code (IaC). Support architecture governance, technical planning, and delivery milestones. Key Skills: Strong experience in Data Engineering Architecture, solution design, and data platform development. Hands-on experience with GCP / Google Cloud Platform and cloud-based data solutions. Strong proficiency in Python for data engineering and automation. Hands-on experience with Data Pipelines, ETL, and Data Integration. Experience with Spring Batch, Kafka, and Google Pub/Sub. Good understanding of Data Quality, Data Governance, and data management principles. Experience with Infrastructure as Code (IaC) and tools such as Terraform. Strong knowledge of data formats including Avro, JSON, and Parquet. Experience with API Integration, Event-Driven Architecture, and Batch Processing. Good knowledge of Bash Scripting and cloud-based development practices. Strong Technical Leadership / POD Leadership experience with excellent stakeholder management Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy .
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.