Saletancy - Senior Databricks Engineer

4 weeks ago

Gurgaon, Haryana, India Nexthire Full time

POSITION TITLE:  Senior Databricks Engineer

EXPERIENCE - 8+ Years

LOCATION:  Gurgaon, India

SKILLS - Spark, SQL, Python, and Scala.,Azure

ABOUT SALETANCY 

Saletancy is a global sales and marketing company specializing in lead generation and appointment setting. We provide sales and marketing solutions to businesses of all sizes.

We believe that companies, regardless of their size and budget, should have access to the latest ideas and technologies for sales and marketing. That's where Saletancy comes in – we are here for you

Saletancy was founded with the aim of offering affordable sales and marketing solutions for businesses of all sizes. Our mission is simple: to help you grow and truly prosper. If you have sales and marketing initiatives in mind but lack the expertise, resources, or budget, we've got you covered – let us help you grow and thrive.

We offer performance-based solutions to assist businesses in acquiring 'New Customers.' Saletancy is headquartered in Noida, India, with a dedicated and dynamic team always ready to deliver performance-driven results.

Reach out to us at Saletancy Consulting Private Limited:
H-107 H-Block, Sector-63, Ghaziabad, Uttar Pradesh, India.

Key Responsibilities:

1. Design and Development:

o Design, develop, and optimize large-scale data processing pipelines using
Databricks on Azure.
o Implement ETL processes to ingest and transform data from various sources into
our data platform.
o Develop scalable and efficient data models to support analytics and reporting
needs.

2. Azure Integration:

o Integrate Databricks with Azure services such as Azure Data Lake, Azure SQL
Database, Azure Synapse Analytics, and Azure Machine Learning.
o Utilize Azure DevOps for continuous integration and continuous deployment
(CI/CD) of data solutions.
3. SaaS Product Exposure:

o Collaborate with product teams to understand data requirements and integrate
SaaS product data into the data platform.
o Develop data solutions that support SaaS product analytics and reporting.

4. Performance Optimization:

o Monitor and optimize the performance of data pipelines and queries.
o Implement best practices for data governance, security, and compliance.

5. Collaboration and Leadership:

o Work closely with data scientists, analysts, and other stakeholders to understand
data needs and deliver solutions.
o Mentor and guide junior engineers, promoting best practices and knowledge
sharing within the team.

6. Documentation and Reporting:

o Maintain comprehensive documentation of data engineering processes, designs,
and solutions.
o Generate reports and dashboards to provide insights into data platform
performance and usage.

Qualifications:
Education:

o Bachelor's or Master's degree in Computer Science, Engineering, or a related
field.
● Experience:

o Minimum of 8-10 years of experience in data engineering or related roles.
o Extensive experience with Databricks and Azure.
o Proven experience with SaaS products and integrating their data into data
platforms.
● Technical Skills:

o Proficiency in Spark, SQL, Python, and Scala.
o Strong understanding of Azure services and architecture.
o Experience with data warehousing, ETL/ELT processes, and data modeling.
o Knowledge of CI/CD practices and tools, particularly Azure DevOps.
● Soft Skills:

o Excellent problem-solving and analytical skills.
o Strong communication and collaboration abilities.
o Ability to work independently and lead projects.

Preferred Qualifications:
● Certifications in Databricks, AWS, Azure, or related Cloud technologies.
● Experience with machine learning and AI integration.
● Familiarity with data visualization tools like Power BI or Tableau.

Benefits:

● Competitive salary and performance-based bonuses.
● Comprehensive health insurance including Parents
● Complementary Buffet Meal Everyday
● Professional development opportunities and continuous learning.
Join our team and contribute to the development of high-quality business applications.

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