Senior Cloud Data Engineer AWS Databricks (Gurugram)

Senior Cloud Data Engineer AWS Databricks (Gurugram)

13 Aug
|
3 KUBED CONSULTING INDIA PRIVATE
|
Gurugram

13 Aug

3 KUBED CONSULTING INDIA PRIVATE

Gurugram

Sr. Cloud Data EngineerDear Candidate,Greetings from 3 Kubed Consulting India Pvt Ltd!We are looking for a Cloud Data Engineer who has experience in building data products using Databricks and related technologies for one of our prestigious clients for REMOTE location. The brief JD is as below.JD:
- Overall Exp - min 8yrs
- Exp in Cloud Data eng - min 6 yrs
- Exp in AWS - min 5 yrs
- Exp in Databricks - min 4yrs
- Exp in Data Architecture
- Work Mode: REMOTE
- Interview: 2/3 Rounds Virtual
- NP: IMMEDIATE / Max 15 to 20 days (if NP is more than 20 days and if you are not able to join on or before 5th of June please excuse)
- Employment: On PMT FTE basis with client (No third party)

Please reply with1. T.EXP2. R. EXP in Dabricks3. R.EXP in AWS4. CCTC5. ECTC6. NP7. UPDATED RESUMEPrimary Responsibilities
- Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.
- Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
- Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
- Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
- Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
- Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the current platform.
- Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
- Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.




- Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
- Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming
- Triage, debug and fix technical issues related to Data Lakes
- Maintain and Manage Code repositories like Git

You Must Have:
- 8-12 years of experience in data engineering, data warehousing, or big data platform development.
- 5 years of hands-on experience with Databricks including Spark, Delta Lake, and performance optimization.
- 4 years of experience designing and implementing cloud-based data lake or lakehouse architectures on Databricks.
- Strong expertise in Spark technologies including Spark SQL, PySpark, or Scala.
- Advanced SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
- Strong understanding of data modeling techniques including Star Schema, Snowflake, and modern Lakehouse modeling approaches.
- Proficiency in at least one programming language (Python, Scala, Java).
- Hands-on experience with data modeling and warehouse design principles.
- Experience designing enterprise-scale ETL/ELT pipelines and ingestion frameworks.
- Strong understanding of performance tuning, partitioning strategies, and cost optimization for large-scale data platforms.
- Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.
- Bachelors degree in computer science, Information Technology, Data Engineering, or related field.
- Experience working in Agile environments and contributing to iterative development cycles.
- Experience working on Agile projects and Agile methodology in general
- We Value

- Databricks Professional or Associate Cloud Certification.
- Experience with enterprise data governance, metadata management, and data catalog platforms.

With regards,NaganarasimhanFor 3 Kubed Consulting India Pvt Ltd

📌 Senior Cloud Data Engineer AWS Databricks (Gurugram)
🏢 3 KUBED CONSULTING INDIA PRIVATE
📍 Gurugram

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