Description

Job Description:-

Responsibilities

Design, develop, and maintain ETL/ELT data pipelines

Build and optimize data warehouses and data lakes

Ensure data quality, reliability, and integrity across systems

Integrate data from multiple sources (databases, APIs, streaming platforms)

Optimize data storage and query performance

Collaborate with data scientists and analysts to support analytics and ML use cases

Implement data governance, security, and compliance best practices

Monitor, troubleshoot, and resolve data pipeline issues

Document data architecture and workflows

Requirements

Proven experience as a Data Engineer or similar role

Strong programming skills in Python, SQL, or Scala

Experience with relational and NoSQL databases

Knowledge of data warehousing concepts (star/snowflake schema)

Experience with ETL tools (Airflow, dbt, Informatica, Talend, etc.)

Familiarity with big data technologies (Spark, Hadoop, Kafka)

Experience with cloud platforms (AWS, Azure, or GCP)

Understanding of data modeling and data architecture

Preferred Qualifications

Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)

Knowledge of containerization and orchestration (Docker, Kubernetes)

Experience with streaming data processing

Familiarity with CI/CD pipelines

Understanding of data privacy regulations (GDPR, HIPAA)

Key Skills

Education

Any Graduate