Data Engineer / Data Scientist

Job Overview:
We are looking for a highly skilled Data Engineer / scientist" style="border-bottom: 1px dotted #007bff !important;">Data Scientist to build and maintain scalable data systems while also generating insights through analytics and machine learning. This role combines data engineering, analytics, and predictive modeling to support real-world business decisions.

Duties and Responsibilities:
Design, build, and optimize ETL/ELT pipelines for large-scale data processing. Develop and maintain data models and data warehouse structures. Perform data analysis, exploratory data analysis (EDA), and feature engineering. Build and deploy basic machine learning models for prediction and insights. Create dashboards and reports using Power BI or Tableau. Integrate data from multiple sources (APIs, databases, external files). Ensure data quality, governance, and reliability across systems. Collaborate with stakeholders to translate data into actionable insights. Monitor pipelines and troubleshoot performance or data issues.

Required Qualifications:
Minimum 4+ Years of Experience is a Must. Strong experience with SQL and Python. Experience with ETL pipelines and data modeling. Solid understanding of data analysis and statistics (EDA). Basic experience with machine learning (scikit-learn or similar). Familiarity with cloud platforms (Azure, AWS, or GCP). Experience with Power BI or Tableau. Strong problem-solving and analytical thinking.

Educational Background:
Degree

Experience:
4 years

Languages:
English

Additional Notes:
Nice to Have: Experience with PySpark or big data tools. Experience with Airflow or workflow orchestration tools. Knowledge of data warehousing and architecture design. Experience working with real-time or streaming data.