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Lead Data Engineer DBT ,SQL, Snowflake , Tableau - R01570901

Brillio
🇮🇳 India
Hybrid
Staff / Principal
1 week ago
  • ETL
  • SQL
  • Python
  • Snowflake
  • PL/SQL
  • T-SQL
  • Data Architecture
  • dbt
  • Tableau
  • ELT
  • AI
  • Machine Learning
  • Data Modeling
  • Power BI
  • Looker
  • AWS
  • Redshift
  • Agile
  • BigQuery
1 week ago
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Lead Data Engineer

Primary Skills

  • ETL Fundamentals, Zero Copy Cloning, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Snowflake Data Exchange, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

  • Snowflake Data Architecture: Lead Data Engineer

Job requirements

    Senior Data Engineer – Snowflake, DBT, SQL & Tableau

    Location

    Bangalore / Hyderabad / Pune / Chennai / Gurgaon

    Experience

    4-8 Years of Experience

    Job Summary

    We are looking for a highly skilledData Engineer with expertise inSnowflake, DBT, SQL, Python, and Tableau to design and deliver scalable data and analytics solutions. The ideal candidate will have hands-on experience building data pipelines, implementing modern data warehouse architectures, developing dashboards, and enabling business insights through reporting and analytics.

    Key Responsibilities

    • Design, develop, and maintain scalable ETL/ELT pipelines usingDBT, SQL, and Python.
    • Build and optimizeSnowflake-based data warehouse solutions, leveraging Snowpipe, Zero Copy Cloning, Time Travel, Fail Safe, and Data Exchange.
    • Design and implement robust data models to support analytics and reporting requirements.
    • Develop, maintain, and optimizeTableau dashboards and reports for business users and stakeholders.
    • Partner with business teams to gather reporting requirements and convert them into scalable data solutions.
    • Create analytical datasets and semantic data models to support BI and self-service reporting.
    • Perform data validation, reconciliation, and troubleshooting to ensure data quality and integrity.
    • Develop stored procedures and automation frameworks within cloud data environments.
    • Drive adoption of AI/GenAI capabilities to improve data processing and analytics.
    • Mentor junior engineers on Snowflake, DBT, SQL, Tableau, and data engineering best practices.

      • Required Skills

      Snowflake

      • Hands-on experience with Snowflake Data Architecture.
      • Strong understanding of:
        • Snowpipe
        • Zero Copy Cloning
        • Time Travel
        • Fail Safe
        • SnowSQL
        • Snowflake Data Exchange
        • Experience in Snowflake performance tuning and optimization.

          • DBT

          • Strong hands-on expertise in DBT.
          • Experience in developing data transformation models, testing, deployment, and documentation.

            • SQL

            • Expert-level SQL skills with experience handling large-scale datasets.
            • Strong knowledge of data manipulation, optimization, joins, analytical functions, and query tuning.
            • Experience with PL/SQL and T-SQL.

              • Tableau

              • Hands-on experience inTableau development and dashboarding.
              • Experience building interactive dashboards, visualizations, KPIs, and executive reporting.
              • Strong understanding of Tableau data modeling and dashboard optimization techniques.
              • Experience connecting Tableau with Snowflake and cloud data warehouses.
              • Ability to translate business requirements into impactful reports and dashboards.

                • Python

                • Strong Python programming skills for automation, orchestration, and data engineering use cases.

                  • Data Engineering

                  • Strong understanding of ETL/ELT frameworks and modern data architectures.
                  • Experience in dimensional modeling and data warehousing concepts.
                  • Hands-on experience designing scalable enterprise data solutions.

                    • Preferred Skills

                    • Exposure to AI/GenAI tools and capabilities.
                    • Experience with Power BI, Looker, or other BI visualization platforms.
                    • Experience with AWS Redshift, Google BigQuery, or similar cloud data platforms.
                    • Knowledge of Finance, Renewals, Subscription Management, or Sales Analytics domains.
                    • Experience working in Agile and DataOps environments.

                      • Educational Qualification

                      • Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.

                        • Preferred Certifications

                        • Snowflake SnowPro Certification
                        • Tableau Desktop Certified Professional
                        • DBT Certification
                        • Microsoft Data Engineer Associate
                        • AWS Data Analytics Certification

                          • Primary Skills

                          Snowflake, DBT, SQL, Tableau, Python

                          Secondary Skills

                          Data Modeling, Data Warehousing, ETL/ELT, AI/GenAI, Power BI, Looker, AWS Redshift, BigQuery

                           

Lead Data Engineer DBT ,SQL, Snowflake , Tableau - R01570901 · Brillio

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