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 up-to-date 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.
Strong 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 (Hubballi)
🏢 SWAKIO
📍 Hubballi
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