Hiring: Data Engineer | Remote

Experience: 4+ Years
Location: Remote

We're looking for a Data Engineer who can build scalable data platforms, optimize data pipelines, and enable data-driven decision-making across the organization.

Key Responsibilities
Design, build, and maintain scalable ETL/ELT data pipelines.
Develop and optimize batch and real-time data processing workflows.
Build reliable data models and data architecture for analytics and reporting.
Ensure data quality, governance, security, and performance.
Work with large datasets using modern data engineering tools.
Collaborate with Data Analysts, Data Scientists, Product, and Engineering teams.
Monitor, troubleshoot, and optimize data infrastructure.

Required Skills
4+ years of Data Engineering experience.
Robust proficiency in Python and SQL.




Hands-on experience with ETL/ELT development and data modeling.
Experience with Spark, Kafka, Hadoop, or similar big data technologies.
Experience with data warehouses such as Snowflake, Redshift, or BigQuery.
Strong understanding of database design and performance optimization.

Preferred Skills
Experience with AWS, GCP, or Azure.
Hands-on experience with Apache Airflow or similar orchestration tools.
Experience building real-time streaming pipelines.
Familiarity with Databricks and Lakehouse architectures.
Knowledge of data governance, monitoring, and observability tools.
Experience working with AI/ML data pipelines is a plus.

📌 Data Engineer (India)
🏢 SWAKIO™
📍 India