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On-site

Job Type

Contractual

Job Description

Job Title:

Experience:5

Location:

Face to Face Interview on Nov 8 Friday


Job Summary:

Data Engineer

Key Responsibilities:

  • Design, develop, and maintain scalable

    data pipelines

    and

    ETL processes

    .
  • Work with structured and unstructured data across

    GCP BigQuery

    ,

    Azure Data Lake

    , and

    Teradata

    environments.
  • Build, optimize, and manage

    data models

    and

    schemas

    for performance and scalability.
  • Implement and monitor

    data quality

    ,

    governance

    , and

    security standards

    .
  • Collaborate with cross-functional teams — data scientists, analysts, and business stakeholders — to translate data requirements into technical solutions.
  • Develop automation scripts and reusable data processing components in

    Python

    and

    Java

    .
  • Troubleshoot and optimize SQL queries for high-performance data retrieval.
  • Support data migration, integration, and transformation initiatives between on-premise and cloud environments.

Required Skills:

  • Strong experience with

    Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub)

    .
  • Experience with

    Microsoft Azure Data Services

    (Data Factory, Synapse, Blob Storage).
  • Proficiency in

    Teradata SQL

    and complex query optimization.
  • Solid understanding of

    database design

    and

    data modeling concepts

    (OLTP/OLAP, star/snowflake schema).
  • Programming skills in

    Python

    and

    Java

    .
  • Hands-on experience with

    ETL tools

    and

    workflow orchestration

    (e.g., Airflow, Data Fusion, Azure Data Factory).
  • Familiarity with

    version control (Git)

    and

    CI/CD pipelines

    .
  • Understanding of

    data security

    ,

    governance

    , and

    compliance frameworks

    .

Preferred Qualifications:

  • Certification in

    Google Cloud Data Engineer

    or

    Azure Data Engineer

    .
  • Experience with

    NoSQL databases

    (e.g., MongoDB, Cassandra).
  • Exposure to

    data streaming

    (Kafka, Pub/Sub).
  • Experience working in

    Agile/Scrum

    environments.

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