Data Engineer

Location: Gurgaon or Bangalore
Experience: 36 years

Job Description: We are seeking a skilled BI Engineer with expertise in data integration/ETL data analysis data modeling data visualization and Power BI. In this role you will work closely with our development and analytics teams to design and implement data warehouse solutions that support our business needs. Responsibilities: Design develop and maintain data integration/ETL workflows to support data warehousing solutions using tools such as SSIS Talend or Informatica. Perform data analysis and provide insights to stakeholders using advanced SQL queries and visualization tools such as Power BI Tableau or QlikView. Develop and maintain data models and schema design to support efficient data flow and query optimization. Collaborate with the development teams to ensure data models align with application data requirements and business needs. Implement and maintain data quality control processes to ensure accurate and reliable data for analyses. Work closely with the analytics team to identify key performance indicators (KPIs) and develop custom reports and dashboards. Develop documentation and provide training to business users on how to utilize data warehousing and visualization tools. Requirements: Bachelors degree in Computer Science Information Technology Data Science or a related field. 36 years of relevant experience in data integration/ETL data analysis data modeling data visualization and Power BI. Proficient in SQL and experience with relational databases such as MS SQL Server Oracle or MySQL. Strong experience with data integration/ETL tools such as SSIS Talend or Informatica. Good understanding of data warehousing concepts and methodologies such as Kimball or Inmon methodology. Proven experience with data visualization tools such as Power BI Tableau or QlikView. Knowledge of Advanced Analytics and Statistics. Strong analytical and problemsolving skills with attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with crossfunctional teams.