Specialist - Data Engineering-Data Analysis

Technical Skills (Must Have)

SQL Advanced querying, joins, window functions, stored procedures Python + GIT Pandas, NumPy, automation scripting, data wrangling AWS Redshift Data warehousing, cluster management, query optimization Automation Scripted pipelines, scheduled jobs, ETL automation Tableau / Power BI/Dashboarding. Dashboard design, KPI tracking, report publishing Confluence Documentation

Roles & Responsibilities

• Design, develop, and maintain interactive dashboards and reports using Tableau (or any other Dashboarding Tool) to support business stakeholders.
• Write complex SQL queries to extract, transform, and validate data from relational databases and data warehouses.
• Develop Python-based automation scripts to streamline repetitive reporting, data processing, and reconciliation tasks.
• Track and manage analytics tasks, sprints, and documentation using JIRA and Confluence.
• Identify trends, patterns, and anomalies in large datasets and present findings to both technical and non-technical audiences.

• Problem Solving: Ability to break down complex business problems and design data-driven solutions with minimal supervision.
• Stakeholder Management: Proven ability to communicate insights clearly to diverse audiences including senior leadership, product teams, and operations.
• Strong written and verbal communication skills with a proactive, ownership-driven mindset.
• Comfortable working in fast-paced, agile environments, managing multiple priorities simultaneously.