Enterprise Analytics Specialist

6 days ago

Hyderabad Secunderabad Telangana, India beBeeDataEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

We are looking for a seasoned Data Engineer to join our team and drive the development of an enterprise analytics solution using Databricks, Power BI and other modern data tools.

Job Description

The successful candidate will be responsible for designing and building scalable enterprise analytics solutions, developing advanced SQL queries, and ensuring seamless data flows across platforms. They will work closely with customers, product teams and other IT teams to define data requirements and project goals.

Key Responsibilities:
  • Solution Design & Development:
  • Data Modeling & Integration:
  • Power BI & Reporting:
  • Governance & Best Practices:
  • Collaboration & Innovation:
Requirements

To be successful in this role, you will need a Master's degree with 1-3 years of experience or a Bachelor's degree with 3-5 years of experience in Data Engineering. You should also have hands-on experience with BI solutions (Power BI preferred), including report development, dashboard creation and optimization, as well as experience building Change-Data-Capture (CDC) ETL pipelines, data warehouse design and enterprise-level data management.

Qualifications
  • A Master's degree with 1-3 years of experience, a Bachelor's degree with 3-5 years of experience, or a Diploma with 7-9 years of experience in Data Engineering.
  • Minimum of 3 years of hands-on experience with BI solutions (Power BI preferred), including report development, dashboard creation, and optimization.
  • Minimum of 3 years of hands-on experience building Change-Data-Capture (CDC) ETL pipelines, data warehouse design, and enterprise-level data management.
  • Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads.
  • Deep understanding of Power BI, including model design, DAX, and Power Query.
  • Proven experience designing and implementing data mastering solutions and data governance frameworks.
  • Expertise in cloud platforms (AWS), data lakes, and data warehouses.
  • Certifications such as SAFe Agile Practitioner (6.0), Microsoft Certified: Data Analyst Associate (Power BI), and Databricks Certified Professional are preferred.
Soft Skills
  • Problem-Solving: Excellent analytical and troubleshooting skills, with a deep intellectual curiosity and the ability to learn quickly.
  • Communication: Strong verbal and written communication skills, with the ability to present complex technical topics to varied audiences.
  • Leadership & Initiative: A high degree of initiative and self-motivation, with the confidence to act as a technical leader.
  • Collaboration: The ability to work effectively with global, remote teams and successfully handle multiple priorities.
  • Domain Knowledge: Experience with human healthcare data, laboratory testing, and clinical trial data management is a plus.

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