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

- 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.

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.

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