Big Data Lead

Data Engineer Must have below

10+ Years Experience Great Communicator/Client Facing/ Attention to detail Individual Contributor and ability to work as a team.100% Hands on in the mentioned skills

Programming Skills

Python and Data Pipelines

Advanced Proficiency in Python concepts like Code Structures, Modules, Packages, Class, SubClass, Inheritance, Multi-Threading and Functional Programming. Experience in developing reusable Python packages for internal or public usage Ability to write automating ETL processes and scheduling jobs like Airflow DAG. Ability to track job pipeline runs to reprocess error records Ability to orchestration different pipelines to run in sequence or parallel. Troubleshoot data pipeline errors and fix issues Export or Import data to/from various formats like CSV, JSON, XML etc preferably from S3 or other cloud storage.

Experience in using AI IDE tool SQL

Advanced SQL skills, including complex joins, CTE's and subqueries Experience in optimizing SQL queries for performance and optimization in data warehouse technologies preferably

Snowflake Testing and documentation

Proficiency in Python unit, integration and system test.Proficiency in implementing DBT tests for data validation and quality checks

Code Generation

Experience in generating code using configurations using python and jinja templates

Version control

Experience in GitHub, including implementing CI/CD process from scratch

AWS Expertise

Data Storage solutions

In depth understanding of AWS S3 for data storage, ECS, IAM including best practices for organization and security

Cloud Security

Knowledge of AWS security best practices, including IAM roles, encryption standard, secure coding guidelines, DBT profiles access configurations and more.

Data Integration (nice to have)

Experience with AWS lambda for serverless data processing tasks