Google Data Engineering - Kolkata - Tata Consultancy Services

    Tata Consultancy Services
    Tata Consultancy Services Kolkata

    3 days ago

    ₹1,800,000 - ₹4,500,000 (INR) per year * Technology / Internet
    Description

    Job description:

    Experience

    ● Experience level of 4 to 7 years in data engineering, data warehousing, or a related field.

    ● Experience with dashboarding tools like plx dashboard and looker studio

    ● Experience with building data pipelines, reports, best practices and frameworks.

    ● Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications).

    ● Experience with code refactoring for optimal performance.

    ● Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.

    ● Familiarity with non-relational data storage systems (NoSQL and distributed database management systems).

    Skills

    ● Strong proficiency in SQL, NoSQL, ETL tools, BigQuery and at least one programming language (e.g., Python, Java).

    ● Big Query,Data Flow,Data Proc,Cloud Sql,Teraform etc

    ● Strong understanding of data structures, algorithms, and software design principles.

    ● Experience with data modeling techniques and methodologies.

    ● Proficiency in troubleshooting and debugging complex data-related issues.

    ● Ability to work independently and as part of a team.

    Responsibilities:

    ● Data Pipeline Development: Design, implement, and maintain robust and scalable data pipelines to extract, transform, and load data from various sources into our data warehouse or data lake.

    ● Data Modeling and Warehousing: Collaborate with data scientists and analysts to design and implement data models that optimize query performance and support complex analytical workloads.

    ● Cloud Infrastructure: Leverage Google Cloud and other internal storage platforms to build and manage scalable and cost-effective data storage and processing solutions.

    ● Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data.

    · Build large scale data and analytics solutions on GCP, Efficiently use the GCP platform to integrate large datasets from multiple data sources, analyse data, data modelling, data exploitation/visualization, DevOps, CI/CD implementation Build automated data pipelines and work in Data engineering solution on GCP using Cloud BigQuery, Cloud DataProc,

    ●

    ● Performance Optimization: Continuously monitor and optimize data pipelines and queries for performance and efficiency.

    ● Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and deliver solutions that meet their requirements.

    Desirable

    · Experience Cloud Storage or equivalent cloud platforms

    · Knowledge of BigQuery ingress and egress patterns

    · Experience in writing Airflow DAGs

    · Knowledge of pubsub,dataflow or any declarative data pipeline tools using batch and streaming ingestion

    · Other GCP Services: Vertex AI

    * This salary range is an estimation made by beBee
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