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Data Engineering Solutions Architect Job Opening In India, India – Now Hiring Ascendion


Job description

Job Title: Senior Data Engineer

Experience : 3+ years

Location: Gurgaon /Pune / Bangalore


Skills: PySpark, SQL, Databricks, AWS.


Role Summary:

We are looking for 3–4 experienced Databricks Developers to support a fast-paced, high-impact data engineering initiative.

The ideal candidates should have hands-on expertise in building scalable data pipelines using Databricks and AWS, along with strong SQL and Python skills.


Required Skill Set:


- 3–4 years of experience in Data Engineering


- Strong hands-on experience with Databricks (Notebooks, Jobs, Workflows)


- Proficiency in PySpark and SQL


- Familiarity with AWS services (S3, Glue, Lambda, etc.)


- Experience with CI/CD tools and version control (e.G., Git)


- Good understanding of Delta Lake and performance tuning


Key Responsibilities:


- Design and develop robust ETL pipelines using Databricks (PySpark or SQL)


- Work with large-scale datasets in cloud environments (preferably AWS)


- Optimize data pipelines for performance and cost efficiency


- Integrate data from multiple structured and unstructured sources


- Collaborate with data architects, analysts, and business stakeholders to understand requirements


- Implement data validation and quality checks


- Maintain proper documentation and version control for data workflows

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


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