Acunor Infotech

Hyderabad, Telangana

Job Responsibilities Use different data warehousing concepts to build a data warehouse for reporting purposes. Design, develop and launch efficient and reliable data pipelines to move data across application systems and to provide intuitive analytics to business teams Actively develop and test ETL components to high standards of data quality. Assist in the creation of design best practices as well as coding and architectural guidelines, standards, and frameworks. Provide analytical support like Visualization, Business Insights, Reporting, as needed. Can guide a team of Data Engineers for a whole projectMust have: 4+ years of experience in ETL (or) data engineering role in an analytics environment. Bachelors degree in a technical field (Comp. Sci degree preferred not mandatory) Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, SQL server etc. Expertise in building data pipelines & data warehousing concepts Good understanding of Big data platforms Knowledge of SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.). Exposure to Visualization tools like Tableau & Power BI is a plus; Not Mandatory. Strong verbal and business communication skills.

Job Responsibilities Use different data warehousing concepts to build a data warehouse for reporting purpose. Design, develop, and launch efficient and reliable data pipelines to move data across application systems and to provide intuitive analytics to business teams Actively develop and test ETL components to high standards of data quality. Assist in the creation of design best practices as well as coding and architectural guidelines, standards, and frameworks. Provide analytical support like Visualization, Business Insights, Reporting, as needed.Must have: 2+ years of experience in ETL (or) data engineering role in an analytics environment. Bachelors degree in a technical field (Comp. Sci degree preferred not mandatory) Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, SQL server etc. Expertise in building data pipelines & data warehousing concepts Good understanding of Big data platforms Knowledge of SQL, Python & some of the standard data science packages (Pandas, NumPy, etc.). Exposure to Visualization tools like Tableau & Power BI is a plus; Not Mandatory. Strong verbal and business communication skills.