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 benefits

- Market-competitive salary package with performance bonuses.

- Opportunity to work on modern data stack & AIready pipelines.

- Learning &

certification support

for cloud/data engineering tools.

- Flexible work culture with remote options (role dependent).

- Health insurance and wellness programs.

- Fasttrack career path for high performers.

📌 Data Engineer (Chennai)
🏢 Skillfort Technologies
📍 Chennai