Description

Databricks Engineer: 9+ years of total experience with 5+ years relevant experience in the mandatory skills.

Mandatory Skills: Databricks, Hadoop, Python, PySpark, Scala, SQL, Azure/AWS cloud services

Required Skills & Experience:

- Very robust hands-on experience in Databricks with Azure/AWS cloud service in Data engineering/Data processing development projects implementing on Data warehouse.
- Hands-on experience in Azure/AWS Cloud-based development and integration
- Proficiency in programming languages Scala and Spark Data frame for data processing and application development
- Strong knowledge and experience in Facts, Dimensions, data Partitions, and handling large volume of data.
- Experience in handling large data in Databricks and performance optimization as well
- Practical experience with Data Engineering, Data Ingestion/Orchestration and the accompanying DevOps with CI-CD tools
- Strong knowledge of Spark, Databricks SQL - Data engineering pipeline implementing in Data warehouse
- Experience in offshore/onshore model and Ability and agile methodology.
- Gathering requirements, understand the business need and regular discussion with tech on design, development activities.




- Should have good experience working with client architect/design team to understand the architecture, requirements and work on the development.
- Experience working in a Financial Industry.
- Certification on Databricks and Azure will be added advantage

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 581918
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : TELANGANA | HYDERABAD
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Aparna Mohandas [[email protected]]; Sumit Jain [[email protected]]Shubha Dutta Ray
- Relevant Experience : 5+ years
- Mandatory skills : Databricks, Hadoop, Python, PySpark, Scala, SQL, Azure/AWS cloud services
- Desired skills : Databricks, Hadoop, Python, PySpark, Scala, SQL, Azure/AWS cloud services
- Domain (Industry) : Finanace
- BGC (Before onboarding / After onboarding) : PostOB
- Total Experience (Ex. 5-7 Years) : 9+ years
- BGC Details : Account Specific
- BGC Vendor : Account Specific
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : General
- Shift Timings : General

📌 581918_DNAFS_StateStreet_Databricks Engineer (Bengaluru)
🏢 Trigent Software
📍 Bengaluru