Business Intelligence Engineer III

Overview

Job Title: Business Intelligence Engineer IIILocation: PuneDuration: 6 MonthsJob Type: ContractWork Type: Onsite

The Top Responsibilities:

• Data Engineering on AWS: Design and implement scalable and secure data pipelines using AWS services such as the client's S3, AWS Glue, the client's Redshift, and the client's Athena. Ensure high-performance, reliable, and fault-tolerant data architectures.
• Data Modeling and Transformation: Develop and optimize dimensional data models to support various business intelligence and analytics use cases. Perform complex data transformations and enrichment using tools like AWS Glue, AWS Lambda, and Apache Spark.
• Business Intelligence and Reporting: Collaborate with stakeholders to understand reporting and analytics requirements. Build interactive dashboards and reports using visualization tools like the client's QuickSight.
• Data Governance and Quality: Implement data quality checks and monitoring processes to ensure the integrity and reliability of data. Define and enforce data policies, standards, and procedures.
• Cloud Infrastructure Management: Manage and maintain the AWS infrastructure required for the data and analytics platform. Optimize performance, cost, and security of the underlying cloud resources.
• Collaboration and Knowledge Sharing: Work closely with cross-functional teams, including data analysts, data scientists, and business users, to identify opportunities for data-driven insights. Share knowledge, best practices, and train other team members.
  

Leadership Principles

• Ownership
• Deliver result
• Insist on the Highest Standards
  

Mandatory Requirements

• 3+ years of experience as a Business Intelligence Engineer or Data Engineer, with a strong focus on AWS cloud technologies.
• Proficient in designing and implementing data pipelines using AWS services such as S3, Glue, Redshift, Athena, and Lambda.
• Expertise in data modeling, dimensional modeling, and data transformation techniques.
• Experience in building and deploying business intelligence solutions, including the use of tools like the client's QuickSight and Tableau.
• Strong SQL and Python programming skills for data processing and analysis.
• Understanding of cloud architecture patterns, security best practices, and cost optimization on AWS.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
  

Preferred Skills

• Hands-on experience with Apache Spark, Airflow, or other big data technologies.
• Knowledge of AWS DevOps practices and tools, such as AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation.
• Familiarity with agile software development methodologies.
• AWS Certification (e.g., AWS Certified Data Analytics - Specialty).
  

Certification Requirements

• Any Graduate
  

TekWissen® Group is an equal opportunity employer supporting workforce diversity.