Top Data Engineer Jobs in Pune, MH
Design, build, and maintain scalable data pipelines and ETL processes, collaborate with teams, optimize database systems, implement data quality processes, evaluate new tools and technologies, troubleshoot data-related issues, document processes, stay current with industry trends, guide and mentor team members, stakeholder management, and leadership skills.
The Senior Salesforce Data Engineer at Red Hat will be responsible for implementing integration architectures, designing technical solutions, building data pipelines, optimizing data processing, and collaborating with the team on data projects. Required skills include Python, Scala, Salesforce, SQL, and SOQL.
Translate client requirements into design, architect, and implement GCP Cloud-based big data solutions. Provide technical leadership in data engineering, data processing, visualization, and implementation. Lead a team to deliver high-quality big data technologies-based solutions on GCP Cloud.
Senior Software Engineer on the Insights team at H1, responsible for developing and maintaining software systems to analyze and interpret medical data for healthcare improvements. Collaborate with stakeholders to provide optimal solutions that align with product goals and user needs. Develop algorithms and systems to process and analyze large sets of medical data.
Translate client requirements into technical design and implement components for data engineering solutions. Drive design discussions to ensure overall solution health. Build data ingestion, analytics, and search functionality. Utilize Hadoop stack, NoSQL databases, AWS, and GCP BigQuery. Develop data pipelines and optimize performance. Collaborate with teams to make a direct impact on clients' businesses.
Bachelor or Master Degree in Computer Science or related with over 2 years of experience working as a Data Engineer. Must have knowledge in SQL, Python, Java, Scala, R, Databricks, Microsoft Fabric, Hadoop, Spark, and Microsoft Azure. Proficient in ETL/ELT processes, data streaming, lakehouse architectures, and data governance.
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Passionate Data Architect with strong problem-solving skills and analytical skills. Responsible for delivering modern data solutions including data ingestion, data pipeline design, data warehouse & data lake architectures, cognitive computing, and cloud services.
Manager, Data Engineering responsible for translating client requirements into design, architecting, and implementing GCP Cloud-based big data solutions. Lead a team to deliver high-quality big data technologies-based solutions on GCP Cloud. Provide technical leadership in data engineering and participate in workshops with clients to align stakeholders to optimal solutions.
Senior Data Engineer responsible for driving the design, implementation, and deployment of intelligent solutions combining Data Science, Engineering, and Operations practices for core products. Collaborate with cross-functional teams to build transformative solutions. Design ML model lifecycle management pipelines, data models, and data pipelines. Implement and test prototype ML models, translate ML prototypes into production solutions. Document best practices for data management and model performance monitoring. Requires MS/PhD in Computer Sciences or Engineering. Experience with developing algorithms and machine learning products using Scala, Python, R, Java, Spark. Strong scripting skills, experience with machine learning tools and frameworks. Passion for work, attention to detail, and excellent interpersonal skills. Knowledge of Life Sciences Domain is a plus.
Lead Data Science Engineer responsible for managing AI models, data analysis, data pipelines, and architecture design. Collaborate with cross-functional teams and present solutions to executives. Requires 5+ years of experience in Data Science, expertise in Python and Azure data platform.
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