Data Analyst

DATA ENGINEER - 4-8 years Experience Location :Remote No of Positions - 3 (In Fulltime Only) Job Description: Key Responsibilities • Data Pipeline Development: Design, develop, and maintain scalable data pipelines to support various data analytics and reporting needs. • Data Integration: Integrate data from multiple sources and ensure data quality and consistency. • Data Modelling: Build and optimize data models using Spark to support complex data transformations and analysis. • SQL Development: Write efficient SQL queries to extract, transform, and load data into data warehouses and other storage solutions. • Big Data Processing: Utilize big data technologies, especially Apache Spark, to process and analyze large datasets. • Cloud Services: Implement and manage data solutions on cloud platforms such as Azure, AWS, or GCP. • Problem Solving: Analyze and resolve data-related issues, ensuring data accuracy and reliability. • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Required Skills and Qualifications • Education: Bachelor's degree in Computer Science, Information Technology, or a related field. • Experience: 3 to 5 years of experience in data engineering or a related role. • Programming: Proficient in Python, with experience in data manipulation and automation scripts. • Big Data: Strong knowledge of big data technologies, especially Apache Spark. • SQL: Excellent skills in writing and optimizing SQL queries. • Data Modelling: Experience in data modelling and data architecture, particularly using Spark. • Cloud Platforms: Hands-on experience with at least one cloud platform (Azure, AWS, GCP). • Data Analytics Concepts: Solid understanding of data engineering and analytics concepts. • Problem Solving: Strong problem-solving skills with the ability to troubleshoot data issues effectively. • Communication: Good communication skills, with the ability to work collaboratively in a team environment. Preferred Qualifications • Databricks: Experience with Databricks tool is a plus but not mandatory. • Certifications: Certifications in Databricks or Azure (or any relevant certifications) are highly desirable. Thanks & Regards,