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Work Location: Hyderabad (Hybrid Model) Prestige Skytech, Financial District Experience: 7 - 12 years Mandatory Skills: Databricks, Snowflake,Pyspark, SQL Job Summary We are seeking a highly skilled Senior Data Engineer/Lead with strong expertise in PySpark, Databricks, Snowflake, DBT, and advanced SQL. The ideal candidate should have hands-on experience building enterprise-scale batch and real-time data pipelines, optimizing high-volume workloads, and designing modern data architectures. The candidate should possess strong knowledge of Data Warehousing, Data Vault, Data Mesh, Lakehouse, Data Lake, and Microsoft Fabric architectures and should be capable of designing scalable enterprise solutions. Key Responsibilities - Design and develop scalable batch and streaming data pipelines using PySpark and Databricks - Build and optimize enterprise data models and transformation pipelines using Snowflake and DBT - Develop advanced SQL scripts, stored procedures, and performance-optimized queries - Design and implement real-time streaming architectures - Build integrations using APIs, event-driven architectures, and cloud-native services - Optimize workloads for performance, scalability, and cost efficiency - Design enterprise data platforms using Lakehouse, Data Mesh, Data Vault, and Fabric principles - Work with cross-functional teams to build scalable analytics and data engineering solutions - Implement CI/CD and DevOps practices for data engineering pipelines - Provide technical leadership and mentor engineering teams Required Skills - Strong hands-on experience with PySpark - Expertise in Databricks - Strong Snowflake experience - Strong DBT knowledge - Advanced SQL expertise - Strong experience with Stored Procedures and complex SQL optimization - Hands-on experience with streaming frameworks and real-time processing - Experience with REST APIs and enterprise integrations - Solid understanding of distributed data processing - Working knowledge of AWS and/or Azure - Excellent analytical and debugging skills Strong Knowledge Of - Data Warehousing - Data Vault Modeling - Data Mesh - Data Lake & Lakehouse Architecture - Microsoft Fabric - Enterprise Data Architecture Patterns Good to Have - Kafka/Event Hub/Kinesis - Airflow - Terraform - Unity Catalog - Delta Live Tables - CI/CD pipelines .
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.