4 Pysql Jobs

You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team. As a Data Science and LLM developer - Sr Associate in our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm. Job Responsibilities Implement various exploratory data analysis techniques . Analyze for Trends and Patterns . Identify key data sourcesthat can make business impacts. Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategicsolutions. Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information. Proficient in Visualization and storytelling which can make an impact to the business . Employs scalable automation solutions for faster and robust data preparation Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis. Required qualifications, capabilities and skills Self-starter, attention to details and results orientated, able to work under minimal guidance. Uses pertinent data and facts to identify and solve a range of problems within area of expertise. Having mandatory experience in Statistics along with Exploratory and regression data analysis Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics.. Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models, Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning]. Preferred data querying skills on SQL(Snowflake, Databricks) and ,Python (packages and libraries like Scikit , Kera's, Pandas, PySpark/PySQL) Bachelor's Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable. Experience Required: 8+ years in Data related projects and 3+ years in Data Science/AI Good communication and analytical skills Preferred qualifications, capabilities and skills Exposure for complex ETL development is an added advantage. Knowledge on CI/CD pipelines.

You will be joining Anuva, a specialized consulting firm dedicated to helping businesses navigate complexity in commercial compliance, data solutions, and internal audit automation. With a collective expertise of over 50 years, Anuva is committed to empowering businesses to make well-informed decisions. As a Sr. Power BI Developer based in Mumbai, your primary responsibility will involve developing data models, crafting dashboards, leveraging analytical skills, overseeing data warehouses, and executing Extract Transform Load (ETL) processes. This is a full-time on-site role that requires a high level of proficiency in Power BI and SQL, along with a solid grasp of Python (PySpark, PySQL, etc.), data modeling, data warehousing, and cloud computing concepts. To excel in this role, you should possess a Master's or Bachelor's degree in Computer Science, Information Systems, or a related field, coupled with a minimum of 5 years of hands-on experience in Power BI and SQL. Your problem-solving skills, critical thinking abilities, and effective communication and collaboration skills will be crucial in driving success in this dynamic and challenging environment.,

As an Azure Data Factory Engineer at Aspire Systems, you will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes. Your role will involve implementing and optimizing data storage solutions in data warehouses and data lakes. You should have strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake, coupled with excellent communication skills. Key Responsibilities: - Design, develop, and maintain robust data pipelines and ETL processes. - Implement and optimize data storage solutions in data warehouses and data lakes. - Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. - Utilize Microsoft Azure tools for data integration, transformation, and analysis. - Develop and maintain reports and dashboards using Power BI and other analytics tools. - Ensure data integrity, consistency, and security across all data systems. - Optimize database and query performance to support data-driven decision-making. Qualifications: - 7-10 years of professional experience in data engineering or a related field. - Profound expertise in SQL, T-SQL, database design, and data warehousing principles. - Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake. - Proficiency in Python, PySpark, and PySQL for data processing and analytics tasks. - Experience with Power BI and other reporting and analytics tools. - Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing. - Excellent problem-solving, analytical, and communication skills. Join Aspire Systems, a global technology services firm that serves as a trusted technology partner for over 275 customers worldwide. Aspire collaborates with leading enterprises in Banking, Insurance, Retail, and ISVs, helping them leverage technology to thrive in the digital era. With a focus on Software Engineering & Digital Technologies, Aspire enables companies to operate smart business models. The company's core philosophy of Attention. Always. reflects its commitment to providing exceptional care and attention to customers and employees. Aspire Systems is CMMI Level 3 certified and has a global workforce of over 4900 employees, operating across North America, LATAM, Europe, Middle East, and Asia Pacific. Aspire Systems has been consistently recognized as one of the Top 100 Best Companies to Work For by the Great Place to Work Institute for 12 consecutive years. Explore more about Aspire Systems at https://www.aspiresys.com/.,

6-8 years of professional experience in data engineering or a related field. Profound expertise in SQL,T-SQL, database design, and data warehousing principles. Strong experience with Microsoft Azure tools including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake. Proficient in Python, PySpark, and PySQL for data processing and analytics tasks. Experience with Power BI and other reporting and analytics tools. Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing. Excellent problem-solving, analytical, and communication skills.