We are seeking a Senior Data Engineer / Data Analyst with strong expertise in Python PySpark Databricks AWS and Tableau / Power BI to design scalable data pipelines analyze large datasets and deliver actionable insights for customer experience optimization.
Key Responsibilities :
- Data Pipeline Development : Design build and maintain scalable ETL / ELT processes using PySpark and Databricks.
- Cloud Infrastructure : Leverage AWS services (S3 EC2 Redshift EMR) for secure and efficient data management.
- Data Analysis : Analyze structured / unstructured datasets to address churn prediction personalization network performance and billing inquiries.
- Visualization : Create interactive dashboards and reports in Tableau / Power BI for technical and business audiences.
- Data Governance : Implement quality checks to ensure data accuracy and consistency.
- Collaboration : Partner with cross-functional teams and mentor junior members to promote data-driven decision-making.
Required Skills :
Expert-level Python and SQL proficiency.Hands-on PySpark big data processing.Strong Databricks platform knowledge.AWS services expertise (S3 EC2 Redshift EMR).Tableau or Power BI visualization skills.Qualifications :
Bachelors or Masters in Computer Science Engineering Statistics or related field.5 years in data engineering or analytics roles with large-scale data environments.Key Skills
Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics
Employment Type : Full-time
Experience : years
Vacancy : 1