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    Job · 22390868

    Thoughtsol Infotech Pvt Ltd logo

    Data Engineer

    Thoughtsol Infotech Pvt Ltd · Noida · onsite · Posted 2d ago

    Not disclosed2–4 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Position: Sr. Data Engineer

    Location: Noida, Sector 132

    Experience: Minimum 2.5 years

    Joining Preference: Immediate Joiners

    Job Summary

    We are looking for a skilled and experienced Senior Data Engineer with strong expertise in the Azure Data Engineering ecosystem. The ideal candidate should have hands-on experience in designing and developing scalable data pipelines, batch and real-time data processing, and working with Azure data services. The candidate will be responsible for building robust data solutions, collaborating with cross-functional teams, and contributing to end-to-end data engineering projects.

    Key Responsibilities

    • Design, develop, and maintain scalable data pipelines and data processing

    solutions on Microsoft Azure.

    • Develop and manage ETL/ELT pipelines using Azure Data Factory (ADF).

    • Work extensively with Azure Data Lake Storage (ADLS) and Azure Databricks.

    • Implement batch and real-time data ingestion and processing solutions.

    • Develop data transformation solutions using PySpark / Spark / Scala.

    • Work with Delta Lake and Spark Structured Streaming.

    • Design and work with Azure Synapse Analytics / Synapse Workspace.

    • Work with Azure SQL Data Warehouse / Azure Synapse and Cosmos DB.

    • Develop and maintain data models and optimize data processing workflows.

    • Use Python and Shell scripting for automation and data engineering tasks.

    • Work with Azure DevOps for source control, CI/CD, and deployment processes.

    • Understand and work with basic Azure infrastructure and cloud concepts.

    • Participate in end-to-end implementation of data engineering projects.

    • Troubleshoot performance, data quality, and pipeline-related issues.

    • Collaborate with technical teams, stakeholders, and clients to understand

    requirements and deliver effective data solutions.

    Required Skills

    • Minimum 2.5 years of relevant experience in Data Engineering.

    • Strong hands-on experience with:

    o Azure Data Factory

    o Azure Data Lake / ADLS

    o Azure Databricks

    o Azure Synapse Analytics

    o PySpark / Spark / Scala

    o Delta Lake

    o Spark Streaming

    • Strong understanding of batch and real-time data processing.

    • Good knowledge of Azure SQL / SQL Data Warehouse and Cosmos DB.

    • Good programming experience in Python.

    • Knowledge of Shell scripting.

    • Understanding of Azure DevOps, CI/CD, and Azure infrastructure concepts.

    • Strong SQL and data manipulation skills.

    • Ability to work independently as well as collaboratively in a team environment.

    • Strong analytical, problem-solving, and communication skills.

    Good to Have

    • Azure or other relevant cloud certifications.

    • Experience working on an end-to-end Azure Data Engineering project.

    • Experience interacting directly with clients or stakeholders.

    • Knowledge of data architecture and scalable cloud-based data solutions.

    Sourced from foundit

    Skills

    Azure Synapse AnalyticsBashAzure DevopsApache SparkScalaAzure Data Lake storageDeltaCosmos DBSpark Structured StreamingAzure SQL Data WarehousePysparkPythonAzure Data FactoryAzure Databricks

    About Thoughtsol Infotech

    Thoughtsol Infotech Pvt Ltd logo

    Thoughtsol Infotech Pvt Ltd

    IT Services & Consulting

    520

    employees

    2014

    12 years old

    New Delhi, Delhi

    IN

    ₹4L PA avg

    Avg at Thoughtsol Infotech

    About

    Focuses on transforming business engagement with technology, offering innovative solutions to enhance performance across various sectors.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    4.6/ 5

    Culture

    4.4

    Career growth

    4.2

    Work-life

    4.4

    Employees rate it well for

    Overall Company46Company Culture45

    Find them on

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