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Data Engineer: Data Platforms (Databricks)

SB Infowaves

5 years

10 Lacs

Bengaluru

Posted:11 hours ago

Job Description

Data Engineer – Data Platforms (Databricks)

Location: Bengaluru
Experience: 5+ Years
Interview Mode: Online
Job Type: Full-time

Job Overview

We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks and modern data engineering platforms. The candidate will be responsible for designing, developing and maintaining scalable data pipelines, implementing ETL/ELT processes and optimising data platforms for efficient data processing.

Responsibilities

  • Design, develop and maintain scalable data pipelines using Databricks.
  • Develop data processing solutions using Python, PySpark and SQL.
  • Build and optimise ETL/ELT pipelines for data ingestion and transformation.
  • Work with Delta Lake and Lakehouse architecture.
  • Develop and manage data workflows using Databricks Workflows.
  • Perform data modelling, data transformation and data integration.
  • Ensure data quality, consistency, security and governance.
  • Monitor, troubleshoot and optimise data pipelines.
  • Collaborate with data architects, analysts and cross-functional engineering teams.
  • Implement CI/CD practices for data engineering workflows.

Required Qualifications and Skills

  • 5+ years of overall experience in Data Engineering.
  • Strong hands-on experience with Databricks.
  • Proficiency in Python, PySpark and SQL.
  • Strong understanding of Apache Spark and distributed data processing.
  • Experience with Delta Lake and Lakehouse architecture.
  • Hands-on experience in developing ETL/ELT pipelines.
  • Knowledge of data warehousing and data modelling concepts.
  • Experience with cloud platforms such as Azure, AWS or GCP.
  • Understanding of data governance and data quality practices.

Preferred Skills

  • Experience with Databricks Unity Catalog.
  • Knowledge of Delta Live Tables (DLT).
  • Experience with Azure Data Factory, Apache Airflow or similar orchestration tools.
  • Familiarity with Git, CI/CD and DevOps practices.
  • Experience with real-time data processing and streaming technologies.

Interview Process

  • Online interview.
  • Technical evaluation followed by further discussion.

Application Requirements

Interested candidates are requested to apply with their updated resumes and mention their current CTC, expected CTC and notice period.

Pay: From ₹1,000,000.00 per year

Work Location: In person

Skills Required

Data Engineering ETL Data Processing Python Pyspark SQL Data Ingestion Data Modelling Data Transformation Data Integration Data Quality Ci/cd

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