Job Description: We are seeking a talented and experienced Data Engineer with 2-3 years of hands-on expertise in data engineering and analytics. The ideal candidate is proficient in utilizing cutting-edge technologies such as SQL, PySpark, Big Data frameworks, and possesses foundational skills in Power BI(Basic), Azure Databricks, and Cloudera Hue.
Responsibilities:
- Develop and maintain robust data processing pipelines using PySpark and Big Data technologies.
- Collaborate with cross-functional teams to understand data requirements and implement efficient solutions.
- Utilize Power BI for basic data visualization and reporting tasks to support business needs.
- Leverage Azure Databricks for scalable data processing and analytics.
- Work with Cloudera Hue for efficient Hadoop cluster management and data exploration.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 2-3 years of hands-on experience in data engineering.
- Proficiency in PySpark and Big Data frameworks (Hadoop, Spark).
- Basic understanding of Power BI for data visualization and reporting.
- Experience with Azure Databricks for scalable and cloud-based data processing.
- Familiarity with Cloudera Hue for Hadoop cluster management and data exploration.
Skills:
- Strong programming skills in Python and SQL.
- Solid understanding of data modeling and ETL processes.
- Ability to work in a collaborative, team-oriented environment.
- Excellent problem-solving and analytical skills.
- Effective communication skills for conveying complex technical concepts to non-technical stakeholders.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Dynamic and collaborative work environment.
- Access to cutting-edge technologies in the field of data engineering and analytics.