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Brillio 24mo ago

Data Specialist - R01558783

IndiaIndiaEmployeesenior
Data ScienceOtherData EngineeringEngineerData Specialist
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Quick Summary

Overview

Senior Data Engineer (Data Bricks) ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, PLSQL, T-SQL, Stored Procedures Modern Data Platform Fundamentals, Data Modelling Fundamentals, Data Ware Housing Databricks Cloud Databricks Engineering: Senior Data Engineer Role…

Key Responsibilities

• Design and implement data pipelines and ETL processes using Databricks and PySpark. • Develop and optimize SQL queries for data transformation and analytics.

Requirements Summary

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. • Proven experience in building and managing data pipelines in cloud environments. • Strong problem-solving and analytical skills.

Technical Tools
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Senior Data Engineer (Data Bricks)
  • ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, PLSQL, T-SQL, Stored Procedures
  • Modern Data Platform Fundamentals, Data Modelling Fundamentals, Data Ware Housing
  • Databricks
  • Cloud
  • Databricks Engineering: Senior Data Engineer
  • Role Overview:
  • We are seeking a highly skilled Databricks Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong expertise in Databricks, PySpark, and SQL, with experience in building scalable data solutions across cloud platforms.
  •  
  • Key Responsibilities:
  • •        Design and implement data pipelines and ETL processes using Databricks and PySpark.
  • •        Develop and optimize SQL queries for data transformation and analytics.
  • •        Collaborate with data architects, analysts, and business stakeholders to deliver high-quality data solutions.
  • •        Ensure data quality, governance, and compliance across all processes.
  • •        Integrate data from multiple sources and manage large-scale datasets efficiently.
  • •        Troubleshoot and optimize performance for data workflows and queries.
  •  
  • Primary Skills (Must-Have):
  • •        Databricks (including Delta Lake and ML capabilities)
  • •        PySpark for distributed data processing
  • •        SQL for data manipulation and analytics
  •  
  • Good-to-Have Skills:
  • •        Azure Services: ADF, Synapse, Purview, Fabric
  • •        AWS Services: Glue, Lambda, Step Functions
  • •        Workflow Orchestration: Airflow
  • •        Data Transformation & Integration: DBT, Fivetran, Informatica
  • •        Streaming & Messaging: Kafka
  • •        BI & Visualization: Power BI
  • •        Data Governance Tools: Collibra, Alation
  • •        GCP: BigQuery
  •  
  • Qualifications:
  • •        Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • •        Proven experience in building and managing data pipelines in cloud environments.
  • •        Strong problem-solving and analytical skills.
  • •        Excellent communication and collaboration abilities.
  •  
  • Nice to Have:
  • •        Experience with multi-cloud environments (Azure, AWS, GCP).
  • •        Familiarity with modern data stack and data governance frameworks.
  •   Promoting Women Professionals

    • Location & Eligibility

    Where is the job
    India
    Hybrid within the country
    Who can apply
    IN
    Listed under
    India

    Listing Details

    Posted
    January 6, 2026
    First seen
    March 26, 2026
    Last seen
    May 15, 2026

    Posting Health

    Days active
    49
    Repost count
    0
    Trust Level
    25%
    Scored at
    May 15, 2026

    Signal breakdown

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