Were Hiring Senior Data Engineer (7+ years) | Hyderabad (Hybrid) | Full

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 rangekindly 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 Python expertiseAdvanced SQL (Joins, Window Functions, Optimization)Azure (Mandatory)Azure Data Factory (ADF)Storage AccountDatabricks - Unity Catalog, DLT (Delta Live Tables)ETL/ELT Data PipelineTools: Airflow / Spark Good-to-Have Skill AWSSnowflakeReal-time streaming (Kafka, Flink)Docker & KubernetesCI/CD pipelinesAI/ML pipeline exposureBasic Java knowledgeServiceNow experience Key Responsibilities Design & build scalable data pipelines using Airflow, Spark, KafkaDevelop data ingestion frameworks from ERP (SAP, Oracle) & CRM (Salesforce, Workday)Implement data quality checks, validation & monitoringOptimize pipelines for performance & cost efficiencyCollaborate with BI & Data teams for seamless data flowWrite clean, reusable & tested codeSupport CI/CD & deployment processes Required Qualifications 7+ years of overall experience with 5+ years of hands-on experience in Data EngineeringStrong experience in Python for Data Engineering using Pandas, PySpark, SQLAlchemy, and data processing librariesExpertise in advanced SQL, including query optimization, performance tuning, complex joins, and window functionsHands-on experience with Azure cloud is Mandatory (ADF, Storage Accounts, and Azure-native servicesFamiliarity with orchestration and distributed processing tools such as Apache Airflow, Apache Spark, and similar technologiesExperience with Databricks, including Unity Catalog and Delta Live Tables (DLTKnowledge of ERP/CRM integrations such as SAP, Oracle, Salesforce, and Workday using APIs, connectors, or direct database accessStrong understanding of data quality, validation frameworks, testing methodologies, and data governance practicesExperience in applying AI-driven solutions 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 developmentHands-on Java experience and understanding of enterprise application design patternsKnowledge of AWS along with SnowflakeExperience working with ServiceNow platform or similar enterprise workflow platformKnowledge of real-time streaming architectures (Kafka Streams, Flink) for industrial/IoT analyticsExperience with containerization (Docker, Kubernetes) and modern CI/CD practicesFamiliarity with AI/ML pipeline integration, feature engineering, and model serving infrastructure Apply Now !Interested can apply - Email: akshita.parashar@strive4x.net Share the following details Full NameMobile NumberTotal ExperienceRelevant Experience in Data EngineeringCurrent CompanyNotice PeriodLast Working Day (if applicable)Are your serving Notice Period (Yes / No) Current CTC (LPA)Expected CTC (LPA)Current LocationAre you fine with Hyderabad (Hybrid) location PF Account StatusPrevious 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 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 rangekindly 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 Python expertiseAdvanced SQL (Joins, Window Functions, Optimization)Azure (Mandatory)Azure Data Factory (ADF)Storage AccountDatabricks - Unity Catalog, DLT (Delta Live Tables)ETL/ELT Data PipelineTools: Airflow / Spark Good-to-Have Skill AWSSnowflakeReal-time streaming (Kafka, Flink)Docker & KubernetesCI/CD pipelinesAI/ML pipeline exposureBasic Java kno