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    Lead Data Engineer - Bengaluru, India - Straive

    Straive
    Straive Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

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    Description

    Responsibilities -

    ⦁ Leading the design, development, and maintenance of the data infrastructure for an enterprise.

    ⦁ Collaborating with data scientists, analysts, and other stakeholders to understand data needs and requirements.

    ⦁ Developing and implementing data pipelines to ingest, transform, and store data

    ⦁ Building and maintaining data lakes and data warehouses.

    ⦁ Ensuring the data infrastructure is scalable, reliable, and secure.

    ⦁ Mentoring and coaching team members to help them grow their skills and capabilities

    ⦁ Identifying and addressing technical challenges and roadblocks in data engineering projects

    ⦁ Communicating technical concepts and project progress to non-technical stakeholders

    ⦁ Building and maintaining relationships with key partners and stakeholders within the organization

    Must have -

    ⦁ 8-10 years of experience and 6+ years in Data Engineering

    ⦁ Building and maintaining data pipelines using technologies such as Cloud Data Fusion, Cloud Dataflow, Azure Data Factory, Azure Stream Analytics, Dell Boomi. (Any 2)

    ⦁ Storing and processing data using technologies such as BigQuery, Cloud Dataproc, Azure Synapse Analytics, Snowflake, Redshift, Cosmos DB. (Any 3)

    ⦁ Managing data storage and access using technologies such as Cloud Storage, Azure Blob Storage, or Azure Data Lake Storage. (Any 1)

    ⦁ Managing and deploying data infrastructure on GCP or Azure using technologies such as Cloud Composer, Azure Kubernetes Service, or Azure Container Instances (Any 2)

    ⦁ Implementing security and access controls for data such as Cloud Identity and Access Management, Azure Active Directory, or Azure Private Link

    ⦁ Well-versed with the Data services, integration, ingestion, ELT/ETL, Data Governance.

    ⦁ Security and Meta-driven Development.

    ⦁ Expertise on RDBMS (relational database management system) – writing complex SQL logics, DB/Query optimisation, Data Modelling, able to manage high data volume for mission critical applications.

    ⦁ Strong grip on programming using Python and PySpark.

    ⦁ Data pipeline lifecycle management and DataOps.

    ⦁ Expertise on using Azure DevOps or Google Cloud Build. (Any 1).

    ⦁ Preference to the candidates having Azure or GCP data engineer certification. (Any 1)

    ⦁ Databricks experience of 1-2 years.

    Should be aware of the following -

    ⦁ Application Development understanding (Full Stack)

    ⦁ Experience on open-source tools like Kafka, Spark, Splunk, Superset etc.

    ⦁ Good understanding of Analytics Platform Landscape that includes AI/ML

    ⦁ Experience on any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.

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