Opening For Gitlab developer

Tekskills; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Tekskills in Bengaluru, India, seeks a data/DevOps engineer to own end-to-end data pipelines, CI/CD with GitLab, and cloud infrastructure knowledge.

You will work with Apigee, GCP, Terraform, Snowflake, Python, SQL, and Tableau to build dashboards and optimize data flows.

The role emphasizes Agile practices, PI planning, and cross-functional collaboration in a fast-paced environment.

Qualifications

• GITLAB CI/CD process.
• Agile practices - Jira , Scrum ceremonies , PI planning.
• Knowledge of Apigee as an API gateway (Basic)- Primarily JavaScript , unit testing with JS.
• Knowledge of GCP and Terraform as a IAAC Basic knowledge of cloud infrastructure and management principles.
• Data warehousing concepts - Snowflake - Ingestion Process, ETL using python and SQL , Dashboards. Cost optimisation and query tunning. Data modelling (Facts/Dimensions)
• Data visualisation by Tableau - Dashboard creation and maintenance
• AWS - S3 , lambda function
• Airflow - process orchestrator , Python, DAG

Responsibilities

• Develop and maintain GitLab CI/CD pipelines for code deployments and automation.
• Create and manage data warehousing pipelines using Snowflake, Python and SQL.
• Build and maintain dashboards in Tableau for data visualization and decision support.
• Support cloud infrastructure concepts using GCP, Terraform, and AWS S3/Lambda.
• Orchestrate data workflows with Airflow (Python, DAGs).

Skills

Debugging

Cloud basics

Python

JavaScript

SQL

ETL

Data modelling

Tools

GitLab

GitLab CI/CD

Tableau

Snowflake

GCP

Terraform

AWS S3

Airflow

Apigee

Job description

GITLAB (source code control)

1. GITLAB CI/CD process.
2. Agile practices - Jira , Scrum ceremonies , PI planning.

Debugging skills

1. Knowledge of Apigee as an API gateway (Basic)- Primarily JavaScript , unit testing with JS.
2. Knowledge of GCP and Terraform as a IAAC Basic knowledge of cloud infrastructure and management principles.
3. Data warehousing concepts - Snowflake - Ingestion Process, ETL using python and SQL , Dashboards. Cost optimisation and query tunning. Data modelling (Facts/Dimensions)
4. Data visualisation by Tableau - Dashboard creation and maintenance
5. AWS - S3 , lambda function
6. Airflow - process orchestrator , Python, DAG