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Job Description
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.
- 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.
Key Requirements & 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 Snowflake, Redshift, or BigQuery
- Strong understanding of database design and performance optimization
- 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
Frequently Asked Questions
How to apply for Data Engineer at SWAKIO™?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
4+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Data Engineer
SWAKIO™ · India
