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Business Consulting-Technical analyst with ETL,GCP using Pyspark

5 - 10 years

8 - 9 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Req ID: 332236
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Business Consulting-Technical analyst with ETL,GCP using Pyspark to join our team in Pune, Mah r shtra (IN-MH), India (IN).
Key Responsibilities:
  • Data Pipeline Development:

Designing, implementing, and optimizing data pipelines on GCP using PySpark for efficient and scalable data processing.
  • ETL Workflow Development:

Building and maintaining ETL workflows for extracting, transforming, and loading data into various GCP services.
  • GCP Service Utilization:

Leveraging GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc for data storage, processing, and analysis.
  • Data Transformation:

Utilizing PySpark for data manipulation, cleansing, enrichment, and validation.
  • Performance Optimization:

Ensuring the performance and scalability of data processing jobs on GCP.
  • Collaboration:

Working with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
  • Data Quality and Governance:

Implementing and maintaining data quality standards, security measures, and compliance with data governance policies on GCP.
  • Troubleshooting and Support:

Diagnosing and resolving issues related to data pipelines and infrastructure.
  • Staying Updated:

Keeping abreast of the latest GCP services, PySpark features, and best practices in data engineering.
Required Skills:
  • GCP Expertise:

    Strong understanding of GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc.
  • PySpark Proficiency:

    Demonstrated experience in using PySpark for data processing, transformation, and analysis.
  • Python Programming:

    Solid Python programming skills for data manipulation and scripting.
  • Data Modeling and ETL:

    Experience with data modeling, ETL processes, and data warehousing concepts.
  • SQL:

    Proficiency in SQL for querying and manipulating data in relational databases.
  • Big Data Concepts:

    Understanding of big data principles and distributed computing concepts.
  • Communication and Collaboration:

    Ability to effectively communicate technical solutions and collaborate with cross-functional teams

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