
Lead/Staff Data Engineer
Are you an experienced Data Engineer looking for a new challenge? Do you thrive in a fast-paced, dynamic environment? Are you passionate about utilizing cutting-edge technology to drive business success? If so, we have an exciting opportunity for you to join our team at Salesforce as a Lead/Staff Data Engineer. As a leader in the industry, we are constantly pushing the boundaries of what's possible with data, and we need someone like you to help us continue on this path of innovation. In this role, you will have the opportunity to work with a talented team and make a significant impact on our data infrastructure. So if you have a strong technical background, excellent problem-solving skills, and a drive to constantly improve and learn, we want to hear from you!
- Design and implement scalable and reliable data pipelines for processing and analyzing large datasets.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain data models and schemas to support data warehousing and reporting needs.
- Conduct data quality checks and ensure data accuracy and integrity.
- Optimize and tune existing data processes for improved performance and efficiency.
- Stay updated on industry trends and emerging technologies to continuously improve our data infrastructure.
- Mentor and provide guidance to junior data engineers on best practices and coding standards.
- Identify and implement process improvements to streamline data pipelines and increase productivity.
- Troubleshoot and resolve data-related issues in a timely manner.
- Collaborate with data scientists to implement machine learning and AI models into production.
- Communicate technical concepts and solutions to non-technical stakeholders.
- Participate in code reviews and provide constructive feedback to team members.
- Monitor and ensure data security and compliance with data privacy regulations.
- Lead projects and drive initiatives to enhance and expand our data capabilities.
- Act as a subject matter expert for data engineering and provide guidance to other teams within the organization.
Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.
Minimum Of 5 Years Of Experience In A Data Engineering Role, Preferably In A Fast-Paced, Highly Collaborative Environment.
Expertise In Sql, Etl Processes, And Data Modeling, With Experience In Working With Large Datasets.
Proficiency In Programming Languages Such As Python, Java, Or Scala, With Experience In Building And Maintaining Data Pipelines.
Strong Understanding Of Cloud-Based Data Platforms, Such As Aws Or Google Cloud, And Experience In Designing And Implementing Data Solutions Using These Platforms.
Data Modeling
Machine Learning
Data Management
Cloud Computing
Data integration
Database design
Data governance
ETL Development
Data architecture
Big Data Analytics
SQL querying
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Lead/Staff Data Engineer in Hyderabad, Telangana, India is between ₹1,000,000 - ₹2,500,000 per year. This range can vary depending on factors such as the size and industry of the company, the level of experience and skills of the individual, and the specific responsibilities and duties of the role. In general, as a Lead/Staff Data Engineer, one can expect to earn a higher salary than a junior or mid-level data engineer due to the increased level of responsibility and expertise required in this position.
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Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.

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