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SoftEdge
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1 to 50 Employees · Wākad, India
1 open role0 posted in 7d1 in 30d
Work-life balance 3.9Compensation & benefits 3.5Culture & values 3.5
Hiring: Engineering
What employees say
+ They gave time for learning something new
− There was something which lacks in guidance.
More reviews on the company profile.
Job description
Overview
Data Engineer – AWS & Databricks Role Overview The Client Data Engineer will be responsible for the design, development, validation, optimization, and ongoing ownership of data solutions primarily using AWS and Databricks.
Responsibilities
- The Client Data Engineer will be responsible for the design, development, validation, optimization, and ongoing ownership of data solutions primarily using AWS and Databricks. The role will work closely with internal teams, business SMEs, architects, governance teams, Power BI/analytics teams, and implementation partners.
- The ideal candidate should have 5+ years of experience in data engineering, ETL/ELT, and data integration, with robust hands-on expertise in Databricks, AWS, SQL, Python, PySpark, and Spark.
- Design, develop, and support AWS and Databricks data pipelines using SQL, Python, PySpark, and Spark.
- Develop and maintain Bronze, Silver, and Gold data layers using Databricks and Delta Lake.
- Work with source-system data, business rules, mappings, and integration requirements.
- Support data quality, metadata, lineage, and Unity Catalog activities.
- Optimize Databricks pipelines and queries for performance, scalability, and cost efficiency.
- Participate in code reviews, CI/CD, deployment, and production support.
- Maintain technical documentation and support knowledge transfer to internal teams.
- Collaborate closely with BI and analytics teams on downstream reporting and data requirements.
- Support integration with Tableau and Power BI for reporting and analytics use cases.
Qualifications
- 5+ years of experience in data engineering, ETL/ELT, or data integration.
- Robust hands-on experience with Databricks.
- Strong experience with AWS data services and cloud-based data platforms.
- Strong SQL and Python skills.
- Solid experience with PySpark / Apache Spark.
- Strong understanding of data integration, transformation, reconciliation, and data qua
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Job application FAQ
Last updated 12 October 2026
- How do I apply for Data Engineer Jaipur (India) at SoftEdge?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. SoftEdge may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer Jaipur (India) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer Jaipur (India) remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Data Engineer Jaipur (India) role at SoftEdge?
- This is a mid-level Data Engineer Jaipur (India) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.