Data Engineering Solutions Architect
AscendionPune, Republic Of India, IN30+ days ago
Job descriptionDesign 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
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)
- P roficiency 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 :
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Solution Architect • Pune, Republic Of India, IN
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