Senior Data Engineer I

Inxite-out

Bengaluru

On-site

INR 1,800,000 - 3,000,000

Full time

13 days ago

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Job summary

Inxite Out is seeking a Data Engineer with 4+ years of experience to design and implement data pipelines using Python and PySpark in an Azure-based environment. The role focuses on Azure Databricks, ADLS, and SQL/Synapse, with emphasis on data modelling and scalable architectures.

The ideal candidate will leverage Git and Jira for collaboration and version control, delivering robust data solutions while working closely with stakeholders.

Qualifications

  • Excellent verbal and written communication skills.
  • UG: B.Sc, BCA, or B.Tech/B.E. in any specialization.
  • Reliable internet connectivity is required.

Responsibilities

  • 3+ years of experience developing data pipelines using Python/PySpark, with proficiency in Spark SQL and Azure Databricks.
  • 4+ years of experience with Azure data engineering technologies, including ADLS, Unity Catalog, Azure Data Factory, Azure Databricks, and Azure SQL/Synapse.
  • 4+ years of experience with SQL.
  • Experience in data modelling, including dimensional modelling, star schema and snowflake schemas.
  • Proficiency in version control tools such as Git and project management tools such as Jira.

Skills

Communication skills
Data modelling

Education

B.Sc / BCA / B.Tech / B.E.

Tools

SQL
PySpark
ETL
ADLS
Azure Databricks
Unity Catalog
Azure Data Factory
Azure SQL/Synapse
Git
Jira

Job description

Data Engineer with 4+ years of experience in SQL, PySpark, ETL, ADLS, Azure Databricks, Unity Catalog, and Azure technologies.

Responsibilities
  • 3+ years of experience developing data pipelines using Python/PySpark, with proficiency in Spark SQL and Azure Databricks.
  • 4+ years of experience with Azure data engineering technologies, including ADLS, Unity Catalog, Azure Data Factory, Azure Databricks, and Azure SQL/Synapse.
  • 4+ years of experience with SQL.
  • Experience in data modelling, including dimensional modelling, star schema and snowflake schemas.
  • Proficiency in version control tools such as Git and project management tools such as Jira.
Qualifications
  • Excellent verbal and written communication skills.
  • UG: B.Sc, BCA, or B.Tech/B.E. in any specialization.
  • Reliable internet connectivity is required.
Good to Have
  • Experience working with financial data or finance-related datasets.
  • Experience with Structured Streaming and Azure Event Hubs.
  • Experience with Declarative Automation Bundles and Spark Declarative Pipelines (SDP).
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