Big Data Lead

At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Big Data Lead / Data Analyst:

The Challenge (Responsibilities)

• Translate business questions into analyses, KPIs, and dashboards.
• Query and transform data using SQL against RDS, Oracle, Amazon Redshift and Athena.
• Perform data profiling and validation on S3/Redshift datasets; escalate data quality issues and partner on resolution.
• Write Python (pandas) for exploratory analysis, feature preparation, and light automation.
• Optimize queries via appropriate partitioning, filters, and Redshift/Athena best practices.
• Document logic, assumptions, and lineage in Confluence; manage work in Jira.
• Create STTM Mapping document by coordinating with upstream/downstream stakeholders.
• Collaborate with data engineers on data requirements, schema changes, and data freshness SLAs.
• Follow version control practices (Git) for SQL, notebooks, and dashboard assets.

Your Profile (Requirements)

• 4-5 years of experience as a Data Analyst.
• Strong SQL (CTEs, window functions, joins, query optimization basics).
• Python for analysis (pandas, basic visualization) and working with JSON.
• Hands-on experience with Amazon Redshift, Athena, and S3-based datasets.
• Understanding of dimensional modeling, star schemas, and partitioned data.
• Requirements gathering, stakeholder communication, and documentation (Confluence/Jira).
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

• Basic statistics (A/B testing, confidence intervals), Excel/Sheets power-user skills.
• Familiarity with Glue Data Catalog concepts, data contracts, and data quality checks.
• Build and maintain dashboards in QuickSight (or Tableau/Power BI) with consistent, well-documented metrics.
• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish.

Special Notes

• N/A

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• Remote / Hybrid / On-site (Depending on specific project needs).

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page :

Keywords:
AWS, SQL, Python, Redshift, Athena

REQUIREMENTS

• Degree holders for the visa application process.
• 4-5 years Data Analyst experience, Strong SQL (CTEs, window functions, joins, optimization), Python for analysis (pandas, JSON), Hands-on experience with Amazon Redshift, Athena, and S3-based datasets, Understanding of dimensional modeling and star schemas, Documentation experience with Confluence/Jira.