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data engineering · healthcare claims auditing

Lead Data Engineer

Mumbai · HybridPosted 1 month ago
DataSenior
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Opens the source posting on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com

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Job Info

  • Job Identification15234
  • Posting Date06/11/2026, 05:51 AM
  • Job RoleData Engineering-Big Data Engineering
  • Experience (In Years)9-12
  • Job LocationPune

Job Description

In-depth working experience of distributed systems Hadoop, Spark, Hive, DBT and Airflow/Dagster

At least 5 years of solid production quality coding experience in data pipeline implementation in Python

Experience working with public cloud platforms, preferably AWS

Experience working with Databricks and/or Snowflake

Experience in Git, JIRA, Jenkins, shell scripting

Familiarity with Agile methodology, test-driven development, source control management and test automation

Experience supporting and working with cross-functional teams in a dynamic environment

You have excellent collaborative problem solving and communication skills and are empathetic to others

You have a track record of building fast, reliable, and high-quality data pipelines

Responsibilities

  • Strong hands-on experience with PySpark, Python, SQL, Databricks, and AWS Cloud is required at a Lead level. The candidate should possess excellent problem-understanding and problem-solving capabilities, be able to lead technical discussions, guide team members, and effectively communicate and collaborate with both internal teams and client stakeholders.

  • You will build services that will integrate directly with Client's products and with external vendors.

  • You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack

  • Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.

  • Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.

  • Support operations to manage the production environment and help in resolving production issues with RCA

  • Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.

Qualifications

  • Graduate in Computer Science, Data Science, Information Technology, or a related field.

  • 8+ years of experience and a bachelor’s degree in computer science or a related field, or equivalent work experience

Required Skills

  • Cloud Platforms
  • Data Pipeline Architecture
  • Interpersonal Dynamics with Coworkers
  • Python Programming Language
  • Results Orientation
  • SQL Programming Language
  • Shell Scripting
  • Time Management Skills
  • Working under Pressure
  • Writing Communication Skills

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