Senior Cloud Data Engineer AWS Databricks

Job Description

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 new 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

Keyskills :
data modelingcloudawssqlscalajavadataengineerdeltalakewarehousepysparklakehouse