GCP Data Engineer

Varite Inc.; Dadri; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Varite Inc. is seeking a Technical Lead to drive data engineering initiatives using Google BigQuery, SQL, Python and Google Dataflow. You will lead a team, architect solutions, and collaborate with stakeholders to translate business needs into scalable data pipelines.

The role emphasizes data quality, security, and mentorship, with opportunities to stay at the forefront of data analytics practices.

Qualifications

• Experience designing data solutions using BigQuery, SQL, Python and Dataflow.
• Strong problem-solving and analytical skills.
• Excellent communication and leadership abilities.

Responsibilities

• Lead the technical team in designing and developing data solutions.
• Collaborate with stakeholders to translate requirements into technical designs.
• Ensure data quality, integrity, and security across solutions.
• Provide mentorship and guidance to junior team members.
• Stay updated on trends in data engineering and analytics.

Skills

BigQuery

SQL

Python

Google Dataflow

Leadership

Communication

Problem-solving

Education

Google Cloud Professional Data Engineer certification

Job description

Job Summary

The Technical Lead will be responsible for providing leadership and technical expertise in Google BigQuery, SQL, Python, and Google Dataflow. The role will involve driving the design, development, and implementation of data solutions using these technologies to meet business requirements.

Key Responsibilities

• 1. Lead the technical team in the design and development of data solutions utilizing google bigquery, sql, python, and google dataflow.
• 2. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• 3. Monitor data quality, integrity, and security within the solutions implemented.
• 4. Provide technical guidance and mentorship to junior team members.
• 5. Stay updated on emerging trends and best practices in data engineering and analytics.

Skill Requirements

• 1. Proficiency in google bigquery for data warehousing and analytics.
• 2. Strong sql skills for querying and managing large datasets.
• 3. Advanced knowledge of python programming language for data manipulation and analysis.
• 4. Experience with google dataflow for real-time data processing and etl pipelines.
• 5. Strong problem-solving and analytical skills.
• 6. Excellent communication and leadership abilities to effectively lead a technical team.

Other Requirements

• 1.Google Cloud Professional Data Engineer certification is preferred.