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    Job · 11404362

    AHMEDABAD · FULLTIME

    Lead Data Engineer-Databricks

    Anblick Solutions logo

    Anblick Solutions

    Ahmedabad · onsite · Posted 69d ago

    Sourced fromFoundit
    Not disclosed10–14 yrsfulltimeAhmedabad

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    Section · 01

    About this role

    Role & responsibilities

    Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience.

    Key Responsibilities:

    1. Data Pipeline Development & ETL/ELT

    • Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce.
    • Implement ETL/ELT workflows for structured and unstructured data processing.
    • Optimize data ingestion, transformation, and storage strategies.

    2. Cloud Data Architecture & Integration

    • Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data).
    • Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing.

    3. Database Management & Optimization

    • Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB).
    • Optimize SQL queries and indexing strategies for performance.
    • Implement data partitioning, compression, and caching for efficiency.

    4. Data Governance, Security & Compliance

    • Ensure data quality, lineage, and governance with tools like Purview.
    • Implement role-based access control (RBAC), encryption, and security policies.
    • Ensure compliance with GDPR, HIPAA, and ISO 27001 regulations.

    5. Monitoring & Performance Tuning

    • Use Azure Monitor, Log Analytics, and OpenTelemetry to track performance and troubleshoot data issues.
    • Automate data pipeline testing and validation.

    6. Collaboration & Documentation

    • Document data models, pipeline architectures, and data workflows.

    Immediate joiners are preferred.

    Sourced from foundit

    Section · 02

    Skills

    Log Analyticseltdata modelsDatabase ManagementData ProcessingMicrosoft Azure

    Section · Company

    About Anblick Solutions

    Anblick Solutions logo

    Anblick Solutions

    454

    employees

    Addison

    US

    About

    Anblicks, a team of specialists in strategic dUnlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions. The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies. Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.

    Industries

    AnalyticsFinancial ServicesHealth CareRetailSoftware

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