Data modelling and Analytics engineer
Data modelling and Analytics engineer
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Job Description
Role: Data modelling and Analytics engineer.
Location : Washington District of Columbia
FTE Rate: $130k $150k
The pay range for this role is $130k $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical vision dental life disability insurance and paid time off (including holidays parental leave and sick leave as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level educational qualifications experience and location of the candidate.
1. Background
Operations Monitoring and Rapid data solutions team which is part of ITSFE is seeking a Data Modelling and Analytics Expert with specialized skills in Power BI Semantic Model development and DAX (Data Analysis Expressions) query implementation. The ideal candidate will also possess expertise in SQL Query Databricks Lakehouse Azure Databricks and DBT to enhance our data analytics capabilities.
2. Objective
The primary objective of this role is to design implement and maintain a robust Semantic Model in Power BI enabling users to create meaningful insights and analytics. The expert will also be responsible for developing complex DAX queries to support reporting needs while leveraging Databricks for data processing and transformation.
3. Scope of Work
The Power BI Expert will be responsible for the following tasks:
Semantic Model Development:
o Design develop and maintain a scalable and efficient Semantic Model tailored to business requirements.
o Ensure the Semantic Model supports optimal performance and user experience.
o Collaborate with stakeholders to gather requirements and validate model design.
DAX Query Implementation:
o Write and optimize DAX queries to create calculated columns measures and tables as needed.
o Ensure DAX calculations are efficient and support the reporting framework.
o Provide guidance on best practices for DAX usage among team members.
Databricks and Azure Databricks Integration:
o Utilize Databricks Lakehouse to manage large volumes of data effectively.
o Implement data processing workflows using Azure Databricks ensuring smooth integration with Power BI.
o Develop and maintain ETL pipelines using Databricks to prepare data for analysis.
DBT (Data Build Tool) Implementation:
o Implement DBT for data transformation and modeling within the data pipeline.
o Create modular and reusable DBT models that align with business requirements.
o Collaborate with data engineers to ensure data quality and integrity.
Advanced HandsOn Experiences:
o Utilize advanced Power BI features including rowlevel security incremental data refresh and Power Query for data transformation.
o Implement custom visuals and integrate APIs to extend Power BI functionality.
o Develop advanced analytical solutions using AI capabilities within Power BI such as predictive analytics and machine learning models.
o Leverage advanced data modeling techniques including star schema design to improve query performance and simplify data analysis.
Reporting and Dashboard Creation:
o Assist in developing interactive dashboards and reports based on the Semantic Model.
o Implement userfriendly features that enhance data accessibility and visualization.
Performance Monitoring and Optimization:
o Monitor the performance of the Semantic Model DAX queries and data pipelines.
o Implement strategies to optimize performance as data volumes grow.
4. Qualifications
Proven experience with Power BI including Semantic Model development and DAX.
Expertise in SQL Query Databricks Lakehouse Azure Databricks and DBT.
Strong understanding of data warehousing concepts and ETL processes.
Familiarity with data visualization best practices.
Excellent analytical and problemsolving skills.
Strong communication and interpersonal skills.
Employment Type
Full Time
