5 years

0 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Summary:

We need a diligent Data Engineer III to join our dedicated data team, contributing to impactful projects.

Key Responsibilities:

  • Design, develop, and maintain scalable and robust data pipelines for both batch and real-time processing.
  • Extract, transform, and load (ETL) data from a wide variety of structured and unstructured data sources including:

RESTful and SOAP APIs

1. Databases (SQL, NoSQL)

Cloud storage (e.g., S3, Google Cloud Storage)

1. File formats (e.g., JSON, CSV, XML, Parquet)

Web scraping tools where appropriate

  • Build reusable data connectors and integration solutions to automate data ingestion.
  • Collaborate with internal collaborators to understand data needs and guarantee data is accessible and user-friendly.
  • Monitor and optimize pipeline performance and troubleshoot data flow issues.
  • Ensure data governance, security, and quality standards are strictly applied across all pipelines.
  • Maintain and scale data warehouse or data lake environments (e.g., Snowflake, Redshift, BigQuery).
  • Apply data manipulation and analysis libraries like Pandas, Polars, or Dask for efficient handling of large datasets.
  • Build and craft data flow and architecture diagrams to visually represent data pipelines, system integrations, and data models, ensuring clarity and alignment among technical and non-technical collaborators.

Requirements:

Technical Skills:

  • Proficiency in SQL and at least one programming language (Python, Pyspark, Java, Scala).
  • Experience with data pipeline and workflow tools (e.g., Apache Airflow, AWS Data Pipeline).
  • Knowledge of relational and non-relational databases (e.g., Oracle, SqlServer, MongoDB).
  • Strong data modeling and data warehousing skills.

Education & Experience:

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or related field (Master’s a plus).
  • 5+ years of proven experience in a data engineering or similar role.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Diligent and proactive approach.

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Thermo Fisher Scientific logo
Thermo Fisher Scientific

Healthcare/Scientific Instruments

Waltham

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