Software Engineer – Data in Pune

Job Description

Software Engineer – Data Company: DeepIntent Location: Pune Type: Full-Time Role Overview • Build and maintain scalable data platforms • Develop enterprise-grade data pipelines • Support data science and machine learning teams • Work on large-scale data processing solutions • Contribute to DataOps and cloud-based data architecture initiatives Key Responsibilities • Design and develop data pipelines • Build scalable data ingestion and transformation solutions • Support machine learning and analytics workloads • Implement DataOps best practices • Develop reliable data storage architectures • Optimize performance and cost of data systems • Collaborate with engineers, analysts, and business teams • Support deployment and operation of data platforms • Maintain high-quality and efficient data workflows • Participate in Agile and DevOps processes Required Skills • SQL • Java • Spring Boot • Python • Bash Scripting • Data Engineering fundamentals • Data Architecture concepts • DataOps practices • Agile methodologies • DevOps principles Cloud & Big Data Skills • AWS or GCP • Apache Spark • Apache Airflow • Apache Beam • Apache Druid • BigQuery • ClickHouse • Data Pipeline Development • Data Transformation Workflows Preferred Qualifications • Strong problem-solving skills • Experience with high-volume data processing • Understanding of scalable cloud architectures • Ability to collaborate across technical and business teams • Strong communication skills • Continuous learning mindset Educational Qualification • Bachelor’s Degree in Computer Science, IT, or related field Experience Required • 1+ years of experience in Data Engineering • Experience building and operating data pipelines preferred Benefits • Competitive salary and performance bonus • Medical insurance coverage • Paid holidays • Hybrid work environment • Professional development reimbursement • Internet/WiFi reimbursement • Health and wellness benefits • Career growth opportunities Why Join • Work on healthcare-focused data products • Exposure to large-scale data engineering challenges • Opportunity to collaborate with AI and ML teams • Modern cloud and big data technology stack • Learning-focused and innovation-driven culture