À propos
Primary Skill: Python Secondary: Oracle PL/SQL, ETL Experience: Minimum 7 years
Roles & Responsibilities
Bachelors or masters degree in computer science or related field. • Good hands-on years of experience in designing, building, and maintaining robust data pipelines using Python and SQL. • Expert in writing complex SQLs • Develop reusable scripts for data extraction from various structured and semi-structured file formats. • Write optimized and scalable queries to retrieve, clean, and transform data for analytics and reporting. • Integrate data from different sources, including APIs and multiple databases. • Work closely with analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for analysis. • Document data workflows and ensure best practices in coding and version control. • Good to have experience on Paginated Reports and Power BI issues, Power BI Development, enhancement, and Migration. • Core Python: Expert-level proficiency in writing efficient, modular, and production-grade Python code for data extraction, transformation, and loading (ETL) processes. • SQL & Databases: Highly skilled in writing complex SQL queries, stored procedures, and optimizing database interactions. Hands-on experience connecting Python scripts with various relational databases (e.g., PostgreSQL, MySQL, SQL Server). • Data Source Integration: Extensive experience working with diverse file-based data sources such as CSV, JSON, and Excel, including parsing, transforming, and integrating them into ETL pipelines. • API & DB Connectivity: Exposure to consuming REST APIs for data ingestion and integrating multiple database sources in a unified workflow.
Additional Skills: • Familiarity with version control (Git), basic shell scripting, and working knowledge of data validation and performance tuning. • PBI Skills: Desirable to have skills on Power BI Development, enhancement and Migration. • Make an impact Drive change for global enterprises and solve business challenges that matter.
TCS Employee Benefits Summary:
Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $95,000 - $125,000 a year
Compétences linguistiques
- English
Avis aux utilisateurs
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