Looking For Data Engineer

Key Responsibilities:

- Design and manage data pipelines to transform and integrate structured and unstructured data.

- Ensure high data quality and performance.

- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.

- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.

- Enforce standards for data governance, security, and cost-effective operations.

Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.

Required Qualifications:

- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.

- Hands-on experience developing ETL or ELT pipelines.

- Experience with cloud-native data services (., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).

- Good understanding of data modeling and data warehousing concepts.

Desired Qualifications:

- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.

- Ingest and integrate data from internal and external sources into data lakes or data warehouses.

- Ensure that processed data is accurate, complete, and secure.

Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.

• Experience

  10 - 15 Years

• No. of Openings

  1

• Education

  Graduate

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Contractor

• Work Location Type

  Work from Home