We are looking for a Data Engineer for our Enterprise Data Organization to develop and manage data pipelines (data ingestion, transformation, storage etc.) for an Azure/Snowflake cloud-based data analytics platform. The candidate will possess strong technical, analytical, programming, and critical thinking skills. The ideal candidate will have good experience with data transformation, data modeling, master data management, and metadata management. This candidate will act as a onsite lead of a team of engineers based out of Eastern Europe, and will interact with the client stakeholders. The client must also have communication and leadership skill. This is key to this role as the client will be will working closely with senior leadership and overseeing a team of engineers

Responsibilities

Good interpersonal skills; comfort and competence in dealing with different teams within the organization.
Requires an ability to interface with multiple constituent groups and build sustainable relationships.
Strong and effective communication skills (verbal and written).
Strong analytical,



problem-solving skills.
Experience of working in a matrix organization.
Proactive problem solver.
Ability to prioritize and deliver.
Results-oriented, flexible, adaptable.
Work well independently and lead a team.
Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions.
Ability to master new skills.
Familiar with Agile practices and methodologies
Qualified data engineering experience focused on batch and real-time data pipelines using Spark, Python, SQL
Data warehouse (data modeling, programming)
Experience working with Snowflake
Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW)

Requirements

Data Engineer with 7 yrs to 14 years Databricks, python, pyspark, Snowflake, SQL, Python, Good interpersonal skills; comfort and competence in dealing with different teams with

📌 BigData Developer (Hyderabad)
🏢 Grid Dynamics
📍 Hyderabad