Senior Consultant

1 week ago

Bengaluru, Karnataka, India Oracle Full time ₹ 4,00,000 - ₹ 8,00,000 per year

Role Overview:

We are looking for a hands-on Senior Data Engineer experienced in migrating and building large-scale data pipelines on Databricks using Azure or AWS platforms. The role will focus on implementing batch and streaming pipelines, applying the bronze-silver-gold data lakehouse model, and ensuring scalable and reliable data solutions.

Required Skills and Experience:

  • 6+ years of hands-on data engineering experience, with 2+ years specifically working on Databricks in Azure or AWS.
  • Proficiency in building and optimizing Spark pipelines (batch and streaming).
  • Strong experience implementing bronze/silver/gold data models.
  • Working knowledge of cloud storage systems (ADLS, S3) and compute services.
  • Experience migrating data from RDBMS (Oracle, SQL Server) or Hadoop ecosystems.
  • Familiarity with Airflow, Azure Data Factory, or AWS Glue for orchestration.
  • Good scripting skills (Python, Scala, SQL) and version control (Git).

Preferred Qualifications:

  • Databricks Certified Data Engineer Associate or Professional.
  • Experience with Delta Live Tables (DLT) and Databricks SQL.
  • Understanding of cloud security best practices (IAM roles, encryption, ACLs).

Responsibilities

Key Responsibilities:

  • Design, develop, and operationalize scalable data pipelines on Databricks following medallion architecture principles.
  • Migrate and transform large data volumes from traditional on-prem systems (Oracle, Hadoop, Exadata) into cloud data platforms.
  • Develop efficient Spark (PySpark/Scala) jobs for ingestion, transformation, aggregation, and publishing of data.
  • Implement data quality checks, error handling, retries, and data validation frameworks.
  • Build automation scripts and CI/CD pipelines for Databricks workflows and deployment.
  • Tune Spark jobs and optimize cost and performance in cloud environments.
  • Collaborate with data architects, product owners, and analytics teams.

Attributes for Success:

  • Strong analytical and problem-solving skills.
  • Attention to scalability, resilience, and cost efficiency.
  • Collaborative attitude and passion for clean, maintainable code.

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