Description

8+ years of experience in Data Engineering or related roles.
Strong programming experience with Python.
Advanced SQL skills with experience in query optimization and performance tuning.
Strong experience with ETL/ELT pipelines and data integration.
Hands-on experience with Apache Spark/PySpark.
Experience with Apache Airflow or similar workflow orchestration tools.
Strong knowledge of Data Warehousing, Data Lakes, Data Modeling, and Distributed Systems.
Experience with at least one major cloud platform:
AWS: S3, Glue, Redshift, Lambda, EMR
Azure: Data Factory, Data Lake, Synapse, Databricks
GCP: BigQuery, Dataflow, Cloud Storage
Experience with databases such as PostgreSQL, MySQL, SQL Server, Snowflake, Redshift, or BigQuery.
Experience with Git, CI/CD, Docker, and Agile methodologies.
Strong understanding of data quality, security, governance, and best practices.
Preferred Skills
Experience with Kafka or other streaming technologies.
Experience with Databricks and/or Delta Lake.
Experience with dbt.
Knowledge of NoSQL databases such as MongoDB or Cassandra.
Experience with Infrastructure as Code and cloud-native architectures.
Exposure to real-time data processing and event-driven architectures.
Experience working with large-scale enterprise data platforms.

Key Skills

Education

Any Graduate