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Lead the technical team in the design and development of data solutions utilizing google bigquery, sql, python, and google dataflow.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Monitor data quality, integrity, and security within the solutions implemented.
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
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Day 0
Early. Similar jobs usually come down between day 6 and day 56.
From 13,754 similar postings that came down. Coming down is not always a hire.
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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
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
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
Other Requirements 1.Google Cloud Professional Data Engineer certification is preferred.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.