Data Engineer

Project Role :

Project Role Description

Must have skills :Google BigQuery

Good to have skills :NA

Minimum7.5year(s) of experience is required

Educational Qualification :15 years full time education

Job Summary:

• As a

  Data Engineer

  , you will be responsible for designing, developing, and maintaining data solutions to support data generation, collection, and processing. This role involves creating data pipelines, ensuring data quality, and implementing

  ETL (Extract, Transform, Load)

  processes to migrate and deploy data across systems. Your day will primarily revolve around working on data solutions, optimizing data pipelines, and ensuring data compliance and quality.

Roles & Responsibilities:

Subject Matter Expertise (SME)

• Act as an SME in the field of data engineering, leveraging your expertise to guide the team and make informed decisions.

Team Collaboration & Management

• Collaborate with and manage the team to ensure optimal performance and meet project goals.
• Take responsibility for

  team decisions

  and engage with multiple teams, contributing to key decisions impacting the project and the organization.

Data Architecture & Design

• Lead the

  data architecture design

  and

  implementation

  for various data solutions.
• Work on

  data modeling

  and design of databases, ensuring systems are efficient, scalable, and meet business needs.

Pipeline Optimization

• Optimize data pipelines

  for performance, scalability, and reliability, ensuring efficient data flow across systems.

Data Quality & Compliance

• Conduct

  data quality assessments

  and ensure the data meets quality standards.
• Ensure

  data compliance

  with regulatory standards and organizational policies.

ETL Implementation

• Lead the design and implementation of

  ETL processes

  for migrating and integrating data between various systems.

Professional & Technical Skills:

• Must Have Skills

  :

• Proficiency in Google BigQuery

  : Expertise in

  Google BigQuery

  for large-scale data processing and querying.

• Data Modeling & Database Design

  : Strong understanding of data modeling concepts and database design principles.

• Cloud-Based Data Solutions

  : Experience working with

  cloud-based data solutions

  , especially those integrated with BigQuery.

• SQL & Scripting Languages

  : Proficiency in

  SQL

  and scripting languages used for data processing and transformation.

• Data Warehousing

  : Hands-on experience with

  data warehousing concepts

  , ensuring data is properly stored, organized, and easily accessible.

Additional Information:

• Experience

  : A minimum of

  7.5 years

  of experience working with

  Google BigQuery

  and related data technologies.

• Location

  : This position is based at our

  Pune office

  .

• Education

  : A

  15 years full-time education

  is required.