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Job Description : Key Responsibilities : - Design, develop, and maintain scalable data engineering solutions using Azure Synapse Analytics.- Develop robust data pipelines using Azure Data Factory (ADF) and other Azure data services.- Build and optimize large-scale data processing solutions using PySpark and Python.- Develop and maintain data processing workloads using Databricks.- Work with Microsoft Fabric and modern cloud-based data platforms.- Implement Medallion Architecture (Bronze, Silver, Gold) for scalable and governed data processing.- Design and implement data ingestion, transformation, cleansing, validation, and aggregation processes.- Develop efficient ETL/ELT pipelines for structured and unstructured data.- Work with Azure Data Lake / Data Lake Storage for enterprise-scale data storage and processing.- Develop and optimize data models for data warehousing, reporting, and analytics.- Write complex and optimized SQL queries for data extraction, transformation, validation, and performance tuning.- Optimize Synapse, Spark, and data pipeline workloads for performance, scalability, and cost efficiency.- Participate in large-scale cloud data migration and modernization initiatives.- Support the migration of legacy data platforms and workloads to modern Azure-based data architectures.- Build data solutions supporting regulatory reporting and analytics platforms.- Implement data quality, reconciliation, monitoring, and error-handling mechanisms.- Collaborate with data architects, business analysts, reporting teams, and other engineering teams.- Troubleshoot data pipeline and production issues and perform root-cause analysis.- Follow data governance, security, compliance, and engineering best practices.Required Candidate Profile : - Strong hands-on experience in Data Engineering and cloud-based data platforms.- Hands-on experience with Azure Synapse Analytics is mandatory.- Strong experience with PySpark and Python.- Hands-on experience with Azure Data Factory and data pipeline development.- Experience with Databricks and Spark-based data processing.- The ideal candidate should possess strong data engineering expertise with hands-on experience in Azure Synapse Analytics, Pyspark, Fabric, Databricks, and modern cloud-based data platforms, designing, developing, and optimizing scalable data solutions.Key Skills : Pyspark, Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric, Data Pipeline, Azure Data Lake, Data Lake, Data Warehousing, ETL, Data Bricks, Python, SQL. (ref:hirist.tech) .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.