Job
Description
About Us Signa Tech is a rapidly growing company with a desire to transform the way people work by leveraging the power of IT. With a goal is to help companies simplify, streamline, make informed decisions, and breathe. Why you need to join us? At Signa Tech, we are not just looking for employees; we are seeking talented individuals who want to be part of a winning team. We are on the lookout for a passionate Data Engineer to join our exceptional team and play a pivotal role of our data driven journey. What We Are Looking For Participate in creating systems that help ingest data from various sources. Write efficient and well-documented code under supervision. Help in the scheduling and monitoring of data pipelines. Assist in writing queries for analysis under guidance. Collaborate with teams to understand requirements and effectively communicate task details. Develop and manage Power BI dashboards and reports. Create complex SQL queries to pull, analyse, and interpret data from various sources. Work closely with data architects, data scientists, and other stakeholders to ensure optimal data solutions. Stay updated with the latest industry trends and best practices. Requirements Fresher or 1 year of experience or internship in the related field is preferable. Basic understanding or exposure to BI design concepts. Eagerness to learn about delivering data science components. Willingness to collaborate with product and engineering teams. Good communication skills for team-based work. Ability to work with guidance and follow workflows. Interest or basic knowledge in dashboard, data visualization software/AI tools, such as PowerBI, Tableau, Splunk, Apache Spark is a plus Perks: SignaTech provides individuals with a competitive salary, a full range of benefits, chances for professional advancement, and a dynamic work environment that values creativity and teamwork. Join us and be part of something great at SignaTech Skills: data,teams,architects,collaboration,power bi,sql,apache,data ingestion,data visualization,code,data pipelines,splunk,data analysis,apache spark,communication,tableau Show more Show less
