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The position is offered as job of Data Engineer Hucon Solutions India Pvt.Ltd. on MYTAT.

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The position is offered by Hucon Solutions India Pvt.Ltd. on MYTAT.

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What is the experience required for this job?

6 - 6 Years of experience is required for this job.

What are the skills required for this job?

Following skills are required for this job: Data Engineering Data Quality Microsoft Azure Azure ETL Databricks pyspark

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The job is offered as a Full Time job.

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The job is offered as a Office Location job.

Data Engineer Hucon Solutions India Pvt.Ltd.

Hucon Solutions India Pvt.Ltd.
Office Location
Full Time

Experience: 6 - 6 years required

Pay: INR 1800000 - INR 3000000 /year

Type: Full Time

Location: Bangalore

Skills: Data Engineering, Data Quality, Microsoft Azure, Azure, ETL, Databricks, pyspark

Company Overview

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About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: Data Engineer Databricks, Azure, PySpark

Experience: 6 -10 years
Salary Range: 15- 30 LPA
Location: Bangalore (BLR)

Job Summary:

We are seeking a skilled Data Engineer with solid hands-on experience in Databricks, Microsoft Azure, and PySpark. The candidate will be responsible for building and managing data pipelines, optimizing data processing workflows, and collaborating with cross-functional teams to deliver data-driven solutions on cloud-native platforms.

Key Roles & Responsibilities (R&Rs):

1. Data Engineering & Development

Design and build scalable data pipelines using Databricks and PySpark.
Develop ETL/ELT workflows for large-scale data processing in a cloud environment.
Implement data transformations, cleansing, and aggregations.

2. Cloud Data Platform Management

Manage and optimize Azure Data Lake, Azure Synapse, and other Azure-native services.
Configure and monitor Databricks clusters for performance and cost efficiency.
Handle data storage, access, and security in the Azure ecosystem.

3. Collaboration & Delivery

Work with data scientists, analysts, and business teams to understand data requirements.
Translate business needs into technical specifications and scalable data solutions.
Ensure timely delivery of data solutions adhering to coding and performance standards.

4. Data Quality & Governance

Implement data validation and quality checks within pipelines.
Support metadata management, lineage, and monitoring across the platform.
Contribute to data governance practices and documentation.

Required Skills & Qualifications:

Bachelor's or Masters in Computer Science, Engineering, or a related field.
610 years of experience in data engineering or similar roles.
Strong programming skills in PySpark and Python.
Proven hands-on experience with Databricks (not just notebooks, but workspace, jobs, clusters).
Solid knowledge of Azure Data Services: Azure Data Lake, Azure Data Factory, Synapse, etc.
Good understanding of performance tuning and big data best practices.

Nice to Have (Good to Mention):

Experience with CI/CD for data pipelines (Azure DevOps, GitHub Actions).
Exposure to Delta Lake, MLflow, or Unity Catalog.
Certifications: Azure Data Engineer Associate, Databricks Certified Data Engineer.