Mandatory
Skills

Data
Warehousing, Azure Data Engineer, Azure Data Lake, Data Bricks, Pyspark, Python

Skill
to Evaluate

Data
Warehousing, Azure Data Engineer, Azure Data Lake, Data Bricks, Pyspark, Python

Experience

4
to 6 Years

Location

Bengaluru

Job
Description

-
Proficiency in Databricks and experience with Spark for big data processing.

-
Solid programming skills in Python or Scala for developing data pipelines.

-
Knowledge of SQL and experience with relational databases and data warehousing
concepts.

-
Familiarity with cloud platforms - Azure, particularly in relation to data
storage and processing.

-
Understanding of data modelling, ETL processes, and data integration
methodologies.

-
Excellent problem-solving skills and attention to detail.

-
Strong communication and collaboration abilities to work effectively in a
team-oriented environment.

Skill Area Tools & Technologies

Data
Engineering  Databricks, Apache
Spark, Delta Lake

Programming  Python, SQL, Spark

Cloud
Platforms  Azure

Education
Qualification BTech

Job Title

Data
Engineer with Azure Databricks

Roles & Responsibilities

-
Develop and implement scalable data processing solutions using Azure
Databricks, including ETL processes that efficiently handle large data volumes.

- Collaborate with cross-functional teams to understand data requirements and
deliver solutions that meet business needs and objectives.

- Optimize data storage and retrieval processes to enhance performance and
reduce latency.

- Ensure data quality and integrity by implementing best practices for data
governance and validation.

- Stay updated with the latest trends and technologies in data engineering, and
evaluate their applicability to the organization's needs.