Senior Data Science Engineer

Role Overview: As a Senior Data Science Engineer at our company in Noida, you will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics. Your role will involve utilizing your skills in data manipulation, statistical analysis, and programming to drive insights and solutions for the organization. Key Responsibilities: - Perform data engineering tasks to ensure efficient data processing and storage - Develop and maintain data models to support analytical needs - Implement and optimize Extract Transform Load (ETL) processes for data extraction and transformation - Design and maintain data warehousing solutions for storing and accessing data - Conduct data analytics to derive meaningful insights and drive decision-making processes - Utilize machine learning algorithms and statistical modeling techniques to develop predictive models - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions Qualification Required: - Proficiency in data engineering and data modeling techniques - Hands-on experience with Extract Transform Load (ETL) processes - Strong knowledge of data warehousing concepts and practices - Excellent problem-solving and analytical skills to tackle complex data challenges - Familiarity with machine learning algorithms and statistical modeling methods - Proficiency in programming languages such as Python, R, or Java - Advanced degree in Computer Science, Data Science, Statistics, or a related field Additional Details: The company is known for fostering a collaborative work environment that encourages innovation and continuous learning. Joining our team will provide you with opportunities to work on cutting-edge projects and contribute to impactful solutions in the field of data science. Role Overview: As a Senior Data Science Engineer at our company in Noida, you will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics. Your role will involve utilizing your skills in data manipulation, statistical analysis, and programming to drive insights and solutions for the organization. Key Responsibilities: - Perform data engineering tasks to ensure efficient data processing and storage - Develop and maintain data models to support analytical needs - Implement and optimize Extract Transform Load (ETL) processes for data extraction and transformation - Design and maintain data warehousing solutions for storing and accessing data - Conduct data analytics to derive meaningful insights and drive decision-making processes - Utilize machine learning algorithms and statistical modeling techniques to develop predictive models - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions Qualification Required: - Proficiency in data engineering and data modeling techniques - Hands-on experience with Extract Transform Load (ETL) processes - Strong knowledge of data warehousing concepts and practices - Excellent problem-solving and analytical skills to tackle complex data challenges - Familiarity with machine learning algorithms and statistical modeling methods - Proficiency in programming languages such as Python, R, or Java - Advanced degree in Computer Science, Data Science, Statistics, or a related field Additional Details: The company is known for fostering a collaborative work environment that encourages innovation and continuous learning. Joining our team will provide you with opportunities to work on cutting-edge projects and contribute to impactful solutions in the field of data science.