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Were Hiring: Senior Data Engineer (7+ years) | Hyderabad (Hybrid) | Full Time | Immediate joiner | Location: Hyderabad (Hybrid) Experience: 7+ Years ( Min. 5+ Years Hands-on in Data Engineering ) Employment: Type: Full time Joining: Immediate Joiners Preferred Mandatory Qualification : B.E./B.Tech required Please note, this role has a restricted budget range kindly apply accordingly. About the Role We are looking for our reputed client who highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, and Azure-based data ecosystems. Key Skills - Strong Pytho n expertise - Advanced SQ L (Joins, Window Functions, Optimization) - Azure (Mandatory) - Azure Data Factory (ADF) - Storage Account - Databrick s - Unity Catalog, DLT (Delta Live Tables) - ETL/ELT Data Pipeline - Tools: Airflow / Spark Good-to-Have Skill - AWS - Snowflake - Real-time streaming (Kafka, Flink) - Docker & Kubernetes - CI/CD pipelines - AI/ML pipeline exposure - Basic Java knowledge - ServiceNow experience Key Responsibilities - Design & build scalable data pipelines using Airflow, Spark, Kafka - Develop data ingestion frameworks from ERP (SAP, Oracle) & CRM (Salesforce, Workday) - Implement data quality checks, validation & monitoring - Optimize pipelines for performance & cost efficiency - Collaborate with BI & Data teams for seamless data flow - Write clean, reusable & tested code - Support CI/CD & deployment processes Required Qualifications - 7+ year s of overall experience wit h 5+ years of hands-on experience in Data Engineerin g - Strong experience in Python for Data Engineering using Pandas, PySpark, SQLAlchemy , and data processing librarie s - Expertise in advanced SQL, including query optimization, performance tuning, complex joins, and window functions - Hands-on experience wit h Azure cloud is Mandatory (AD F, Storage Account s, and Azure-native services - Familiarity with orchestration and distributed processing tools such as Apache Airflo w , Apache Spar k, and similar technologies - Experience with Databrick s, including Unity Catalo g and Delta Live Table s (DLT - Knowledge of ER P /CRM integrations such as SAP, Oracle, Salesforce, and Workday using APIs, connectors, or direct database access - Strong understanding of data quality, validation frameworks, testing methodologies, and data governance practices - Experience in applying AI-driven solution s for workflow automation, process optimization, and decision-making improvements Nice-to-Have - Experience with AI-powered productivity tools (Cursor, Windsurf, Claude, GitHub Copilot) for accelerated development - Hands-on Java experience and understanding of enterprise application design patterns - Knowledge of AWS along with Snowflake - Experience working with ServiceNow platform or similar enterprise workflow platform - Knowledge of real-time streaming architectures (Kafka Streams, Flink) for industrial/IoT analytics - Experience with containerization (Docke r, Kubernete s) and modern CI/C D practices - Familiarity with AI/ML pipeline integration, feature engineering, and model serving infrastructure Apply Now !Interested can apply - Email : Share the following details - Full Name - Mobile Number - Total Experience - Relevant Experience in Data Engineering - Current Company - Notice Period - Last Working Day (if applicable) - Are your serving Notice Period (Yes / No) - Current CTC (LPA) - Expected CTC (LPA) - Current Location - Are you fine with Hyderabad (Hybrid) location - PF Account Status - Previous employments reflected in PF - Employment documents available - Open to Full time - Any offer in hand (Mention LPA) #Hiring #SeniorDataEngineer #DataEngineerJobs #HyderabadHiring #Azure #Databricks #Snowflake #PythonJobs #BigData #ETL #ELT #Airflow #Spark #Kafka #Unity Catalog #DLT #CloudJobs #TechHiring #HiringNow #NIT #IIT #Strive4x #TCS #Hybridjobs .
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.