Role & responsibilities
Design, build, and maintain data pipelines for batch and streaming workflows.
Develop and optimize ETL/ELT processes using SQL, Python, and modern orchestration tools.
Manage and integrate data from multiple sources into data warehouses/lakehouses.
Ensure data quality, lineage, and governance across systems.
Collaborate with analysts, scientists, and business teams to deliver reliable datasets.
Monitor and troubleshoot pipeline performance, scalability, and security.
Work with cloud platforms (AWS/Azure/GCP) for storage, compute, and deployment.

Preferred candidate profile
Strong expertise in SQL and Python.
Handson experience with Apache Spark, Kafka, Airflow, dbt.
Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift).
Familiarity with Docker, Kubernetes, Terraform for deployment.




Positive understanding of data modeling (Star/Snowflake schema, partitioning).
Exposure to data governance tools and CI/CD workflows.
Strong problemsolving, debugging, and communication skills.
Experience range: 14 years

Perks and advantages
Market-competitive salary package with performance bonuses.
Opportunity to work on modern data stack & AIready pipelines.
Learning &

certification support

for cloud/data engineering tools.
Versatile work culture with remote options (role dependent).
Health insurance and wellness programs.
Fasttrack career path for high performers.

📌 Data Engineer Chennai
🏢 Skillfort Technologies
📍 Chennai