Data Engineer (SQL | Python | Databricks | Power BI - Optional)

Job Description

The Datalytix Solutions is a modern data and analytics consulting company specializing in data engineering, BI, and cloud-based lakehouse architectures. We work with international clients across industries to build scalable data pipelines, automate reporting, and enable data-driven decision-making. We?re looking for a junior to mid-level Data Engineer who is passionate about working with data, optimizing pipelines, and building insights using modern data tools. Key Responsibilities Design, develop, and maintain ETL/ELT data pipelines using SQL and Python. Support and maintain data processing jobs in Databricks / Azure / AWS environments. Work with relational databases (e.g., MySQL, PostgreSQL, SQL Server) to extract, transform, and load data efficiently. Build and optimize queries and stored procedures for analytics and reporting use cases. Collaborate with BI and analytics teams to prepare clean, structured datasets for Power BI dashboards and reports. Troubleshoot data inconsistencies, ensure data quality, and maintain pipeline reliability. Work with APIs, flat files (CSV, JSON), and other data sources for integration. Participate in code reviews, documentation, and version control practices (Git). Required Skills Strong proficiency in SQL (query optimization, joins, CTEs, window functions). Experience with Databricks, PySpark, or similar data platforms. Knowledge of Git, Airflow, or DBT for workflow orchestration. Hands-on experience in Python for data processing (Pandas, NumPy, etc.). Understanding of data modeling and ETL/ELT principles. Familiarity with cloud data environments (AWS, Azure, or GCP). Strong analytical and problem-solving skills. Good communication and collaboration skills. Preferred / Nice to Have Exposure to Power BI (data modeling, DAX basics, visualization best practices). Understanding of data lakehouse concepts and cloud-based data architecture. Education Bachelor?s degree in Computer Science / Information Technology / Data Science, or a related field. Equivalent practical experience will also be considered. Why Join Us Work with modern data tools and real-world client data architectures. Opportunity to grow rapidly into mid/senior data engineering or BI roles. Exposure to international projects and cloud data platforms. Collaborative, learning-driven team environment. How to Apply: Send your resume or LinkedIn profile to [email protected]?with the subject line ?? ?Application: Data Engineer ? Your Name?