6.0 - 10.0 years

0 - 0 Lacs

hyderabad, telangana

On-site

You will be joining QTek Digital, a leading data solutions provider known for its expertise in custom data management, data warehouse, and data science solutions. Our team of dedicated data professionals, including data scientists, data analysts, and data engineers, collaborates to address present-day challenges and pave the way for future innovations. At QTek Digital, we value our employees and focus on fostering engagement, empowerment, and continuous growth opportunities. As a BI ETL Engineer at QTek Digital, you will be taking on a full-time remote position. Your primary responsibilities will revolve around tasks such as data modeling, applying analytical skills, implementing data warehouse solutions, and managing Extract, Transform, Load (ETL) processes. This role demands strong problem-solving capabilities and the capacity to work autonomously. To excel in this role, you should ideally possess: - 6-9 years of hands-on experience in ETL and ELT pipeline development using tools like Pentaho, SSIS, FiveTran, Airbyte, or similar platforms. - 6-8 years of practical experience in SQL and other data manipulation languages. - Proficiency in Data Modeling, Dashboard creation, and Analytics. - Sound knowledge of data warehousing principles, particularly Kimball design. - Bonus points for familiarity with Pentaho and Airbyte administration. - Demonstrated expertise in Data Modeling, Dashboard design, Analytics, Data Warehousing, and ETL procedures. - Strong troubleshooting and problem-solving skills. - Effective communication and collaboration abilities. - Capability to operate both independently and as part of a team. - A Bachelor's degree in Computer Science, Information Systems, or a related field. This position is based in our Hyderabad office, offering an attractive compensation package ranging from INR 5-19 Lakhs, depending on various factors such as your skills and prior experience. Join us at QTek Digital and be part of a dynamic team dedicated to shaping the future of data solutions.,

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