Job Description

Bachelor’s degree in computer science, or with equivalent professional experience.

Exceptional problem-solving skills

Self-motivated

Minimum of 3 years of hands-on Experience

Primary Skills –

• SQL, SSIS, SSAS and SSRS & PowerBI
• Proficiency in writing Complex SQL Queries
• Experience in Debugging and Optimizing SQL.
• Exposure on creating/maintaining design related artifacts like source to target Mapping documents, data flow diagrams, and RCA documents.
• Understanding of BI concepts – OLTP vs OLAP
  Experience in an Agile environment
  Excellent written and verbal communication skills

  Secondary skills/Good to have:

• Hands-on experience with Python, AWS, and/or Databricks
  Strong practical experience building and deploying data solutions using Python
• Experience working in cloud and data platforms such as AWS (e.g., S3, Lambda, Glue, SageMaker, EC2, IAM) and/or Databricks (e.g., Spark, Delta Lake, notebooks, workflows/jobs).
• Experience executing AI experiments and initiatives that improved productivity and automation
• Proven experience designing, running, and iterating on AI/ML experiments
• Delivered measurable business impact by implementing AI-driven solutions that improved team productivity, reduced manual effort, and automated repetitive workflows.
• Exposure to MLOps/LLMOps practices (experiment tracking, model deployment, monitoring, governance) and responsible AI considerations is preferred.

Job Specification

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field required.
• SQL, SSIS, SSAS and SSRS & PowerBI
• Proficiency in writing Complex SQL Queries
• Experience in Debugging and Optimizing SQL.
• Exposure on creating/maintaining design related artifacts like source to target Mapping documents, data flow diagrams, and RCA documents.
• Understanding of BI concepts – OLTP vs OLAP
  Experience in an Agile environment
  Excellent written and verbal communication skills
  Experience with performance tuning SQL queries, Spark job, and stored procedures.
• An understanding of E-R data models (conceptual, logical, and physical).

Required Key Skills

• Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal \ Bi-Temporal models, etc.) a plus.
• Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.
• Self-starter. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities.
• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.