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Our\ncorporate projections offer a multitude of opportunities for professionals to elevate their careers\nand experience substantial growth. Joining our team means engaging with expansive\nengineering teams across Latin America, Philippines and the United States, contributing to\ncutting-edge developments in multiple industries.\nPosition Title: Data Engineer\nCategory: Software Engineering & Architecture\nSeniority: Mid\nLocation: LATAM\nWhat you will be doing:\nWe are looking for a Data Engineer with strong Finance Accounting domain knowledge to\nsupport initiatives related to Finance Accounting data and its reporting through our data lake\n(databricks). This is an important requirement.\nThe ideal candidate should have a solid understanding of accounting functions and concepts,\nincluding General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), Profit &\nLoss (P&L), and related financial reporting processes.\nThis will be a business-facing role, requiring the ability to work closely with Finance\nstakeholders, understand their data and reporting requirements, and translate those\nrequirements into effective data solutions.\nRequired Skills & Experience\nBS degree in Computer Science or a related subject\n3 years of experience in a Data Engineer, Analytics Engineer, or similar role.\nStrong Data Engineering experience\nGood experience with General Ledger (GL), Accounts Receivable (AR), Accounts\nPayable (AP), Profit & Loss (P&L), and related financial reporting processes.\nAdvanced proficiency in SQL and Python for data transformation and automation.\nExperience working with PySpark.\nExperience working with data lakes and reporting platforms\nExperience working with Databricks or other data lake platforms.\nFamiliarity with the medallion architecture (bronze, silver, gold tiers).\nStrong analytical mindset with experience in advanced analytics techniques.\nIntermediate experience with ETL pipeline development and machine learning\noperations.\nFamiliarity with Agile methodologies and Sigma Computing (preferred but not required).\nExcellent communication and collaboration skills.\nNice to Have Skills\nKnowledge of AI and machine learning frameworks.\nExperience with R is a plus.\nExperience with data visualization tools (Qlik or similar tools)\nSoft Skills\nCollaborate seamlessly with technical and non-technical stakeholders to understand\nand address their analytical needs.\nProblem-Solving: Utilize agile methodologies to identify complex issues and implement\neffective solutions in a timely manner\nWhy you will love Global Technology Services:\nJoin a powerful tech workforce and help us change the world through technology\nProfessional development opportunities with international customers\nCollaborative work environment\nCareer path and mentorship programs that will lead to new levels.\nJoin GTS and contribute to shaping the data landscape within a dynamic and growing\norganization. Your skills will be honed, and your contributions will play a vital role in our\ncontinued success. Lean Tech is an equal opportunity employer. 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