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5+ years of industrial experience in Big Data EngineeringStrong proficiency in SQL and at least one programming language: Python, Scala, or JavaHands-on experience with AWS and SnowflakeStrong Experience in Data Build Tool (DBT)Experience with cloud storages: AWS S3, Azure Storage, Google Cloud StoragePractical skills with Hadoop-like environments (EMR, HDInsight, Dataproc)Experience with Big Data frameworks: Apache Spark, Databricks, Apache Flink, Apache BeamKnowledge of orchestration tools: Airflow, NiFi, AWS Glue, Azure Data Factory, Cloud ComposerExperience with streaming platforms: Kafka, Kinesis, SQS, Event Hub, Pub/Sub, IoT HubFamiliarity with data warehousing and analytics: Snowflake, Redshift, Athena, SynapseExperience working with containerization & serverless technologies (Docker, Lambda, Fargate, Functions, Cloud Run)Understanding of data governance, data quality, and data lifecycle processesStrong communication and collaboration skillsEnglish at Upper Intermediate levelBachelors degree in Computer Science or similar (preferred)AWS or Snowflake certifications (preferred)AND YOU WANT TO:Design and optimize distributed computing architectures for scalable Big Data processingBuild and enhance batch and streaming data pipelinesImplement advanced data processing: real time analytics, ML-driven models, predictive insightsDevelop reusable, parameterized ETL/ELT pipelines for DWH and lakehouse solutionsConduct end to end data flow validation and performance optimizationImplement best practices for data quality, lineage, and governanceConfigure and maintain CI/CD flows and release pipelinesWork with containerized and multi-container development environmentsTroubleshoot complex data infrastructure and processing issuesContribute to architectural decisions and technology selectionEnsure secure customer data management throughout the entire project lifecycleFollow data retention, deletion, and off-boarding proceduresMentor junior engineers and support technical decision-making .
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.