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.
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 .
Robust 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 (Mumbai)
🏢 SWAKIO™
📍 Mumbai
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