Data Engineer (Experienced)

Overview

Job Description:

We are seeking a sklled Data Engineer/ Data Visualization with a strong background in Python, SQL, Databricks and Power BI to join our team. The ideal candidate will have a minimum of 3 year to a maximum of 6 years of experience in data engineering, ETL processes, and data visualization.

Responsibilities:

• Develop, maintain, and enhance ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Collaborate with stakeholders to understand data requirements and design efficient data models and pipelines.
• Write complex SQL queries to perform data manipulation, aggregation, and analysis.
• Utilize PySpark for big data processing, data transformations, and analysis tasks.
• Implement data quality checks and validation processes to ensure accuracy and integrity of data.
• Optimize ETL workflows and data pipelines for performance and scalability.
• Troubleshoot and resolve issues related to data processing, ETL jobs, and data quality.
• Document ETL processes, data models, and data lineage for knowledge sharing and future reference.
• Stay updated with industry best practices, emerging technologies, and trends in data engineering and analytics.

Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, Power BI or related field.
• Proficiency in Python programming language for data manipulation, scripting, and automation.
• Strong SQL skills with experience in writing complex queries, stored procedures, and functions.
• Hands-on experience with Power BI and Databrisk for processing large-scale datasets and performing data transformations.
• Familiarity with data warehousing concepts, dimensional modeling, and ETL tools.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Good communication skills with the ability to effectively interact with cross-functional teams and stakeholders.

Job Types: Full-time, Permanent

Benefits:

• Food provided
• Health insurance
• Paid sick time
• Provident Fund

Schedule:

• Day shift
• Fixed shift
• Monday to Friday
• Morning shift

Supplemental Pay:

• Performance bonus
• Yearly bonus

Experience:

• total work: 1 year (Preferred)

Work Location: In person