Talend/data Bricks & Snowflake

NR Consulting
Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
6-10 years
Hyderabad
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 25 Dec 2026
Posted: 2 weeks ago
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Job Description

  • Talend/data bricks & snowflake
  • Company: NR Consulting
  • Job Location: Hyderabad, Telangana, India
  • Employment Type: Full-time
  • Experience Required: 6 - 8 years
  • Title:
  • Talend/data bricks & snowflake
  • Location: Hyderabad
  • Exp: 6-8 Yrs
  • :Key Responsibilities
  • Design, develop, and maintain scalable and extensible data pipelines for collecting, storing, transforming, and analyzing large datasets from multiple sources.
  • Build and optimize ETL/ELT pipelines using Talend, Databricks, Snowflake, Azure Data Factory, and related technologies.
  • Develop and manage data ingestion and replication frameworks using Fivetran and HVR for batch and near real-time data movement.
  • Design and implement scalable data lakehouse architectures using Databricks, Delta Lake, and Snowflake.
  • Develop PySpark and Spark SQL solutions to process and transform large-scale datasets efficiently.
  • Implement data quality frameworks, automated testing, monitoring, and reconciliation processes to ensure data integrity and reliability.
  • Build and maintain API-based integrations to support enterprise-wide data consumption.
  • Optimize Snowflake performance through warehouse tuning, query optimization, clustering strategies, and cost management.
  • Adhere to data governance standards to ensure data quality, consistency, integrity, usability, and security.
  • Implement CI/CD pipelines and DevOps best practices for automated deployment and platform reliability.
  • Perform root cause analysis and troubleshoot complex data-related issues across multiple systems.
  • Collaborate with business stakeholders, product teams, architects, and engineering teams to deliver high-quality data products and solutions.
  • Support modernization initiatives by migrating legacy ETL workloads from Talend, Informatica, and DataStage to cloud-native platforms.
  • Minimum Qualifications
  • 5+ years of experience in Data Engineering, Data Warehousing, and Analytics solutions.
  • 5+ years of experience designing and developing ETL/ELT solutions using Talend, Informatica, DataStage, or similar tools.
  • 3+ years of hands-on experience with Databricks, PySpark, and Spark SQL.
  • 3+ years of experience with Snowflake, including performance tuning, data modeling, and workload optimization.
  • Experience with Fivetran and/or HVR for Change Data Capture (CDC), replication, and data ingestion.
  • Strong programming and scripting skills in SQL, Python, Stored Procedures, and Unix Shell Scripting.
  • Experience designing and developing cloud-based data pipelines using Azure Data Factory.
  • Strong understanding of dimensional modeling, data warehousing concepts, and data lake architectures.
  • Experience creating test plans, test strategies, integration testing, and data validation frameworks.
  • Experience implementing CI/CD and DevOps practices using GitHub, Jenkins, JFrog, and related tools.
  • Knowledge of data governance, data quality, metadata management, and security best practices.
  • Experience working with structured, semi-structured (JSON/XML), and unstructured datasets.
  • Experience working in Agile and Scrum environments.
  • Preferred Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related discipline.
  • Experience building enterprise-scale analytics and reporting platforms using Azure Cloud services.
  • Hands-on experience with Delta Lake and Lakehouse Architecture.
  • Experience supporting retail, merchandising, customer analytics, or supply chain data platforms.
  • Experience migrating legacy ETL solutions to Databricks and Snowflake.
  • Exposure to streaming technologies such as Kafka or Azure Event Hubs.
  • Knowledge of Infrastructure as Code (Terraform) and DataOps practices.
  • Databricks, Snowflake, Azure Data Engineer, or related cloud certifications.
  • Exposure to Power BI or other BI and visualization platforms.
  • Primary Screening Skills (Must-Have)
  • Databricks
  • Snowflake
  • PySpark
  • Python
  • SQL
  • Azure Data Factory
  • Fivetran/HVR
  • CI/CD and GitHub
  • Secondary Skills
  • Talend / Informatica / DataStage
  • Data Modeling
  • DevOps
  • API Integration
  • Data Governance
  • Nice-to-Have Skills
  • Delta Lake
  • Kafka / Azure Event Hubs
  • Terraform
  • Power BI
  • DataOps Practices .

Skills

SnowflakeSnowflakeSQLDatabricksFivetranSpark SQLPythonPySparkHVRTalendAzure Data Factory

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