Senior Data Engineer (Snowflake, Azure/AWS, Hadoop, Hive, Python, ) 5 to 8

Job Title: Senior Data Engineer (Snowflake, Azure/AWS, Hadoop, Hive, Python, Databases)Experience: 5 to 8 yearsLocation: Pune and Chennai, IndiaJob Description:We are seeking an experienced and talented Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines, working with both cloud-based and on-premise data solutions. This role requires strong expertise in Snowflake, Azure/AWS cloud platforms, Hadoop ecosystem, Hive, Python, and relational/non-relational databases.Key Responsibilities: Design, develop, and optimize scalable data pipelines using Snowflake, AWS, or Azure cloud technologies.Build and maintain ETL processes for large-scale data integration from various sources.Implement data solutions on cloud platforms (Azure/AWS) ensuring best practices for security, scalability, and performance.Develop and optimize SQL queries, data models, and schemas within Snowflake and other database technologies.Leverage Hadoop and Hive technologies for big data processing and analytics.Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.Ensure data quality, consistency, and integrity across all pipelines and datasets.Perform regular performance tuning and optimization of data processes.Contribute to data governance and ensure compliance with industry standards.Troubleshoot and resolve issues related to data engineering pipelines and systems.Lead and mentor junior data engineers, offering guidance on best practices and technical solutions.Required Skills & Experience:5 to 8 years of experience in Data Engineering, with a focus on cloud platforms (Azure or AWS).Expertise in Snowflake data warehousing platform.Strong experience working with big data technologies such as Hadoop, Hive, and other related frameworks.Proficiency in programming languages like Python for building scalable data solutions.Hands-on experience with SQL and NoSQL databases.Familiarity with ETL tools and data pipeline orchestration tools (e.g., Apache Airflow, Talend).Experience with data modeling, data integration, and data transformation techniques.Strong knowledge of cloud platforms (Azure or AWS), including data storage, compute, and orchestration services.Understanding of version control systems (Git) and CI/CD pipelines.Strong analytical skills and attention to detail.Excellent communication and collaboration skills, with the ability to work cross-functionally with teams.Preferred Skills:Certifications in Snowflake, AWS, or Azure are a plus.Knowledge of machine learning or AI integrations with data platforms.Familiarity with Data Lake and Data Warehouse concepts.Education:Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. .