Databricks Engineer

Job description

About Us:

Hvantage Technologies Inc. is at the forefront of innovation in finance, healthcare, technology etc. We leverage the latest in cloud and data analytics technologies to drive our mission forward, solving complex problems and delivering value to our customers. We are looking for talented individuals who are passionate about making a difference using big data and advanced analytics.

Position: Databricks Engineer

Location: Indore, India (Work-from-Office)

Immediate Joiner Preferred

Position Overview:

As a Databricks Engineer, you will play a pivotal role in our data team, focusing on leveraging Databricks to drive insights, optimize operations, and power predictive models that inform strategic decisions. Your expertise will support the development, deployment, and management of scalable data analytics and machine learning solutions that meet our business objectives.

Key Responsibilities:

• Design and implement scalable and reliable data pipelines within the Databricks platform, ensuring data quality and accessibility for analytics and machine learning applications.
• Led the integration of Databricks with various data sources and platforms (e.g., SQL, NoSQL, Data Lakes, and Cloud Storage) to support data ingestion, processing, and analytics.
• Develop and optimize Spark jobs for data transformation and aggregation.
• Work closely with data scientists and analysts to deploy machine learning models at scale, ensuring performance and reliability.
• Implement best practices for data governance, security, and compliance within the Databricks environment.
• Mentor junior team members and contribute to the development of internal knowledge bases and documentation.
• Stay up-to-date with advancements in Databricks, Spark, and related cloud data technologies to continually enhance our capabilities.

Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum of 3 years of experience in data engineering with at least 2 years focused on Databricks and Apache Spark.
• Strong proficiency in languages such as Python, Scala, or SQL.
• Demonstrated experience designing and implementing data pipelines and architectures within cloud environments (AWS, Azure, GCP).
• In-depth understanding of big data technologies, data modeling, ETL processes, and data warehousing principles.
• Experience with machine learning model deployment and lifecycle management within Databricks is highly desirable.
• Knowledge of data governance, security practices, and compliance regulations relevant to data and cloud platforms.
• Excellent problem-solving skills, along with the ability to work independently and as part of a cross-functional team.
• Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• Dynamic and collaborative work environment with a focus on innovation and continuous learning.

If you meet the above requirements and are excited about the opportunity to work as a Senior Databricks Developer in a dynamic and innovative environment,

Join our team and be part of an organization that values innovation, collaboration, and personal growth. We offer competitive compensation, comprehensive benefits, and a stimulating work environment that encourages learning and professional development.

To apply, please submit your resume and a cover letter highlighting your relevant experience and skills to [Confidential Information]. Or you can share your CV over WhatsApp at +919755299999

Note: Only shortlisted candidates will be contacted for further evaluation.

Hvantage Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role: Data Platform Engineer

Industry Type: IT Services & Consulting

Employment Type: Full Time, Permanent

Role Category: Software Development