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Enterprise Minds
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Data Engineer

Data Engineer

Enterprise Minds

7 - 9 years

22 - 30 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

python pyspark sql data bricks data modeling hive azure databricks catalog big data technologies microsoft azure data warehousing power bi data engineering data cleansing data quality tableau hadoop data visualization big data aws data lake

Work Mode

Work from Office

Job Type

Full Time

Job Description

?? Location: Hyderabad, India
?? Experience: 2–4 Years
?? Employment Type: Full-time

?? About the Role
We are looking for a highly motivated Data Engineer with hands-on expertise in Databricks , PySpark , and SQL . This role involves designing and building large-scale data pipelines, transforming complex datasets, and collaborating closely with cross-functional teams to deliver impactful business solutions.

?? Job Responsibilities

Design, develop, and maintain data pipelines and data processing solutions on the Databricks platform.

Build and optimize Spark applications using PySpark for efficient data ingestion, transformation, and analysis.

Work with large and complex datasets to perform advanced data transformations and data cleansing operations.

Collaborate with data scientists , analysts , and business stakeholders to understand data requirements and translate them into technical solutions.

Ensure data quality , data governance , security , and performance across all data workflows.

Continuously monitor, troubleshoot, and optimize data pipelines for performance and reliability.

Develop technical documentation for architecture, processes, and solutions.

? Primary Skills

Strong proficiency in Python and PySpark .

Extensive hands-on experience with the Databricks platform (Databricks Workflows, Delta Lake, Unity Catalog preferred).

Strong command over SQL and data modeling concepts.

Proven experience with data warehousing and data lake architectures.

Excellent problem-solving and analytical skills.

? Secondary Skills (Good to Have)

Experience with other Big Data technologies like Hadoop , Hive .

Knowledge of cloud platforms such as AWS or Azure (especially Azure Databricks is a plus).

Familiarity with data visualization tools like Tableau or Power BI .

Understanding of data security , privacy regulations , and best practices for data management.

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Data Engineer