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Key Required Skills Strong expertise in AWS database services and Snowflake architecture, plus SQL, automation, and scripting. Position Description (AWS & Snowflake Focus) • Design and manage scalable, secure AWS database solutions using RDS, AuroraDB, DynamoDB, Redshift, ElastiCache, EMR, and Neptune. • Configure, optimize, and integrate EMR clusters with diverse data sources. • Integrate AWS databases with Lambda, S3, EC2, and Glue. • Apply AWS security best practices (IAM, encryption, VPC, security groups). • Implement backup, disaster recovery, high availability, and failover using Multi-AZ and read replicas. • Troubleshoot AWS database and cluster issues. • Architect, implement, and manage Snowflake virtual data warehouses with a focus on performance and micro-partitions. • Write and optimize complex SQL for analysis and reporting. • Optimize Snowflake workloads through clustering, caching, and auto-scaling. • Ensure SSA compliance and support technical communications. • Mentor junior developers. Basic Qualifications (AWS & Snowflake Related) • 7+ years as a Database Architect. • Deep experience with AWS database services and data processing platforms. • Proficient in AWS security, compliance, and troubleshooting. • Skilled in performance tuning, caching, clustering, and auto-scaling. • Proficient with automation/scripting: CloudFormation, Terraform, AWS CLI, Python, Bash, PowerShell. Required Skills — AWS & Snowflake Highlights • Expert in relational/NoSQL design and modeling. • High-level experience configuring, launching, and optimizing EMR clusters. • Advanced SQL performance tuning. AWS Expertise • Proven ability to architect scalable, secure, high-performance AWS database solutions. • Experienced integrating AWS databases with Lambda, S3, EC2, Glue. • Strong in IAM roles, encryption, securing clusters, and monitoring via CloudWatch/CloudTrail. Snowflake Expertise • Skilled in designing, implementing, and managing Snowflake warehouses and micro-partitions. • Strong schema design, normalization, and efficient Snowflake data structures. • Experience with Snowflake ingestion, transformation, and loading. • Knowledge of Snowflake RBAC, encryption, and security best practices. • Integrates Snowflake with BI tools (Tableau, Power BI) and uses Python for pipelines/ML. Desired Skills (unchanged, can minimize if needed)
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.