EVERSANA: Data Ingestion Engineer (ADF+Dbt+Snowflake) — Pune, MH, India

EVERSANA lists a Data Ingestion Engineer (ADF+Dbt+Snowflake) opening in Pune, MH, India. The position is listed as full-time. The job description covers Python, SQL, Azure, technical documentation, problem resolution.

Recruitment overview

OrganisationEVERSANA
Post / roleData Ingestion Engineer (ADF+Dbt+Snowflake)
DepartmentDigital & Technology
Employment typeFull-time
Notification / job IDREF7101S
Job locationPune, MH, India
Work arrangementOn-site
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required4+ years of experience in data engineering, ETL development, or data integration
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About EVERSANA

EVERSANA provides commercial services to the life sciences industry. Its work supports pharmaceutical and biotechnology clients through management consulting, patient services, commercial analytics, agency and creative services and pharmaceutical sales teams promoting therapies to prescribers. These service lines connect market and patient information with the launch and day-to-day commercialisation of medicines and medical technologies. Its employer feed lists consulting, data and client-support roles for these commercialisation activities.

The position and its setting

EVERSANA lists Data Ingestion Engineer (ADF+Dbt+Snowflake) in Pune, MH, India, under reference REF7101S. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Digital & Technology
  • Employment type: Full-time
  • Employer listing date: 23 October 2026
  • Brands: EVERSANA
  • Job Family: Information Systems

Responsibilities and work described

  • We are seeking a highly skilled and motivated Data Ingestion Engineer to join our data platform team
  • This role involves building and maintaining scalable, reliable, and secure data pipelines that power analytics, reporting, and decision-making across the organization
  • Work: with Snowflake, SQL, dbt, Azure Data Factory (ADF), Python, and PostgreSQL o integrate and transform data from a variety of cloud and on-premises sources
  • Design, develop, and maintain Snowflake-native data ingestion pipelines using Snowpipe, Snowpipe Streaming, Snow Tasks, and Snow Streams
  • Building: automated, scalable ingestion processes to load batch and near-real-time data into Snowflake
  • Design: and implement ELT workflows using Snowflake and dbt
  • Integration: Azure Data Factory (ADF) with Snowflake for data movement and orchestration where appropriate
  • Development: Python scripts and utilities for data ingestion, validation, automation, and integration
  • Ingest data from APIs, databases, files, cloud storage, and other internal and external systems into Snowflake
  • Monitoring: and optimize performance of pipelines and troubleshoot ingestion issues
  • Implementation: data quality checks, logging, alerting, and governance processes
  • Maintenance: technical documentation of data pipelines and workflows

Essential requirements and candidate background

  • Required Skills &
  • 4+ years of experience in data engineering, ETL development, or data integration
  • Experience: Snowflake data warehousing and data ingestion
  • Experience: Snowpipe and/or Snowpipe Streaming
  • Experience: Azure Data Factory (ADF) for orchestration and pipeline automation
  • Proficiency: Python for scripting, automation, and data manipulation
  • Experience building ETL/ELT pipelines and working with large data volumes
  • Experience: dbt, preferably with Snowflake
  • Knowledge: Snowflake and PostgreSQL
  • Experience using dbt for SQL-based transformation, version control, and documentation
  • SQL skills and familiarity with data modeling concepts (e.g., star/snowflake schemas)
  • Familiarity: Git and version-controlled development environments

Preferred experience and additional strengths

  • Experience: API integration and handling large data files (CSV, JSON, XML)
  • Familiarity: Azure Blob Storage, Azure Data Lake, or similar
  • Exposure: cloud data platforms (Azure, AWS, or GCP)
  • Understanding: data governance, lineage, and cataloging tools

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: Pune, MH, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Ingestion Engineer (ADF+Dbt+Snowflake) vacancy is not an offer for reference REF7101S; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to EVERSANA

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official EVERSANA posting below and match the title and reference REF7101S.

Compare your qualifications and experience with the essential conditions for the Pune, MH, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

  • Employer states that applications and employment offers do not require payment

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • SQL
  • AWS
  • GCP
  • Azure
  • APIs
  • technical documentation
  • problem resolution
  • Google Cloud
  • Git

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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