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Role Summary We are seeking an experienced Data Engineer with strong expertise in Databricks and modern Lakehouse architecture to design, develop, and optimize scalable data pipelines. The ideal candidate will have hands-on experience with Apache Spark (PySpark), Delta Lake, Python, SQL, and GCP, along with a strong understanding of data engineering best practices, performance optimization, and enterprise-scale data platforms. Key Responsibilities Design, develop, and maintain scalable batch and streaming data pipelines using Databricks.Build robust ETL/ELT data pipelines using PySpark and Spark SQL.Develop and manage Delta Lake tables, ensuring ACID compliance, schema evolution, and efficient data management.Implement and maintain Lakehouse Medallion Architecture (Bronze, Silver, Gold).Perform data ingestion from multiple sources, including APIs, Kafka, cloud storage, and relational databases.Design and develop data models to support analytics, reporting, and business intelligence.Ensure data quality through validation, reconciliation, and monitoring processes.Optimize Spark workloads using partitioning, caching, query tuning, and cluster optimization techniques.Implement data governance and security using Unity Catalog or equivalent governance tools.Integrate data pipelines with orchestration tools such as Apache Airflow or Cloud Composer.Collaborate with business stakeholders, architects, and cross-functional teams to understand requirements and deliver scalable solutions.Troubleshoot production issues and continuously improve pipeline performance and reliability. Mandatory Skills Databricks & Big Data Strong hands-on experience with Databricks (GCP preferred).Expertise in Apache Spark (PySpark).Experience with Delta Lake, including MERGE, UPSERT, Time Travel, and schema evolution.Strong understanding of Lakehouse Architecture. Programming Strong proficiency in Python.Advanced SQL skills. Data Engineering ETL/ELT pipeline development.Batch and streaming data processing.Data modeling (Dimensional Modeling/Lakehouse). Cloud Platform Hands-on experience with Google Cloud Platform (GCP).Experience with services such as:BigQueryCloud StorageCloud ComposerDataflow (preferred) Good To Have Skills Apache Airflow / Cloud Composer.Kafka or other real-time streaming platforms.CI/CD using Git, GitHub Actions, or Azure DevOps.Infrastructure as Code (Terraform).Docker and Kubernetes.Exposure to BI tools such as Power BI or Tableau.Experience working in BFSI or other enterprise data environments. Skills: databricks,gcp,sql,apache spark,delta lake .
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.