... efforts and managing analytical teams; - Leveraging data to drive business decisions; Performing data manipulation, data structuring, and query optimization using SQL and Python; Automating data processes, and integrating data from multiple sources to support business intelligence initiatives; - Familiarity with business intelligence ...
... Exposure to Ansible for database automation and operational tasks. Familiarity with automation and scripting to streamline database administration. Experience with MySQL, MongoDB, and SQL Server is a plus. Extensive Oracle Database management experience, including backups, security, patches, and installations. Proven expertise ...
... development team. Strong knowledge of Programming fundamentals Knowledge of Java / Python / C++ Basic knowledge of Data Structures & Algorithms Understanding of SQL / Database concepts Basic knowledge of HTML, CSS & JavaScript is an added advantage Strong coding and communication skills Relocation candidates are strictly ...
... requirements - Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies - Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, ...
... Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field Experience with .NET framework and integration with Excel Knowledge of SQL and database connectivity Familiarity with data visualization best practices Experience in developing commercial Excel add-ins or tools Understanding of software ...
... stakeholders to deliver quality solutions Educational Qualification:B.E. or B. Tech Experience:3-5 years Work Experience and Skills required: - Strong knowledge of SQL and relational databases (MS-SQL) - Exposure to NoSQL databases such as Cassandra, MongoDB, or Redis is good to have. - Experience in writing optimized SQL queries ...
... within Analytics Extremely strong analytical orientation and product understanding. Demonstrated experience in descriptive, predictive analytics and expertise in SQL and Python/R. Experience with Reporting and Business Intelligence tools like Tableau, Qlikview, Looker, etc. Ability to understand data architecture and data ...
... equivalent experience. - Healthcare credentialing experience - 3+ years of experience as a Data Engineer or Analytics Engineer or similar role. - Proficiency in SQL, Python, or other relevant programming languages. - Strong experience with data warehousing concepts and tools. - Experience with ETL tools and processes. - Familiarity ...
... Writing,PLSQL Graduate Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field. Strong understanding of SQL and relational database concepts. Experience with databases such as MySQL, PostgreSQL, SQL Server, or Oracle. Ability to write efficient and optimized SQL queries. ...
... consistency and compliance Automate recurring reports and dashboards to improve efficiency and reduce manual effort Optimize reporting processes using advanced Excel, SQL, and BI tool capabilities Present insights and recommendations clearly to both technical and non-technical audiences through effective data storytelling Provide ...
... Qualifications: Bachelor's degree in Business Administration, IT, or related field. Strong analytical, problem-solving, and documentation skills. Proficiency with SQL, Excel, and data visualization tools. Familiarity with project management methodologies (Agile, Scrum). Excellent communication and stakeholder management skills.
... 1-2 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment. Job Title Junior Data Engineer Job Description ...
... testing) - Strong understanding of software engineering techniques with modern programming languages and analytical frameworks. Proficient in Python, PySpark, SQL - Profound experience in Spark based data lake & extended services like, Azure Databricks (Workflows/Jobs), Azure Data Factory, Azure Data Lake Storage Gen2, ...
... Operational Purposes. MIS reporting by using MS Excel and VBA (macro) at Operational. Ad hoc automation for different Operational requirements. Creating and modifying SQL queries as per requirements based on client and operational use. Performance reporting Data and Trend Analysis to correlate process performance. Supporting Operations ...
... Location: Bengaluru, India Long-term contract Job Overview: We are seeking a Data Engineer with 3–5 years of hands-on experience in Spark and Spark SQL, strong SQL expertise, and solid batch processing experience. Must have skills – Spark, Spark SQL, at least 5-8 years of working experience with Spark. Very Strong SQL; Batch ...
Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...
... have experience using the following software/tools :Experience with big data: Hadoop, Map Reduce, Hive, Spark, Kafka, Airflow etc - Experience with relational SQL and NoSQL databases: MySQL, Postgres, MongoDB, HBase, Cassandra etc - Experience with cloud Data platform: AWS, Azure-HDInsight's, GCP, CDP - Experience with ...
... automation tools like Selenium, Rest Assured, and Appium. In-depth experience with Hybrid Automation Frameworks and design patterns, including Page Object Model. Solid SQL knowledge for validating API and database data elements. Ability to understand project documentation, customer requirements, and product goals to implement effective ...
- Build and maintain automated dashboards and BI reports for key product and revenue metrics. - Write advanced SQL queries to analyze large datasets and generate actionable insights. - Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, ...