Data Engineer
2 weeks ago
Job Title: Data Engineer
Experience: 5+ Years
Location: Remote
Job Description:
We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support analytics and business intelligence needs.
Key Responsibilities:
- Design, develop, and optimize end-to-end data pipelines (batch and real-time)
- Build and maintain ETL/ELT processes from multiple data sources
- Work with structured and unstructured data across data lakes and data warehouses
- Ensure data quality, reliability, and performance
- Collaborate with data analysts, data scientists, and stakeholders
- Implement data security, governance, and best practices
- Monitor, troubleshoot, and optimize data workflows
Required Skills & Qualifications:
- 5+ years of experience as a Data Engineer
- Strong proficiency in SQL and Python
- Hands-on experience with data warehousing (Snowflake / Redshift / BigQuery)
- Experience with big data technologies (Spark, Hadoop – preferred)
- Knowledge of ETL tools and orchestration frameworks (Airflow, DBT, etc.)
- Experience with cloud platforms (AWS / Azure / GCP)
- Understanding of data modeling, performance tuning, and optimization
- Strong communication and problem-solving skills
Nice to Have:
- Experience with streaming tools (Kafka, Kinesis)
- Exposure to BI/analytics tools (Power BI, Tableau, Looker)
- DevOps knowledge (CI/CD, Git)
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