Description

An organization in the high-tech sector focuses on delivering innovative software solutions that cater to diverse customer needs. The company specializes in advanced data engineering and analytics, providing services that enhance operational efficiency and drive business intelligence. Their technology capabilities include cloud-based infrastructure and robust data management tools, enabling clients to harness the power of data effectively. The organization plays a crucial role in supporting various industries by leveraging cutting-edge technology to facilitate data-driven decision-making.

Requirements

8+ years of relevant experience in data engineering and related fields, demonstrating a solid background in data ingestion.
This role operates in a hybrid work model, combining both remote and on-site collaboration to achieve project goals.

Required Skills:

Foundational understanding of Snowflake and its functionalities for data warehousing.
Basic knowledge of data engineering principles and pipeline management techniques.




Strong hands on Experience with Databricks and Azure Data Factory for data ingestion tasks.
Academic exposure to PySpark, Python and SQL for data transformationsfor data transformation workflows.

Preferred Skills:

Basic understanding of database concepts and management practices.
Ability to use Cursor as IDE aor any other AI tool

Job responsibilities

Reading and understanding customer requirements from Functional Design Documents (FDDs), including source systems, target schemas, and mapping instructions.
Reconciling FDD requirements against actual source datasets from APIs, SFTP files, Snowflake tables, and other data sources.
Translating reconciled requirements into production Databricks pipelines, including authoring configuration and data validation YAML files, and SQL, Python, and PySpark based mapping notebooks.
Changes and fixes to existing customer pipelines and shared platform code.
Root cause analysis and resolution of

📌 Lead Data Integrations Engineer4 (Hyderabad)
🏢 GlobalLogic
📍 Hyderabad