A software services company is hiring for a Data Engineer in Mumbai. The role requires expertise in Python, PySpark, SQL, and a strong understanding of AWS and Databricks. Candidates should have 4 to 8 years of experience in data engineering, with a focus on developing scalable data solutions and managing SQL databases. This is an opportunity to work in a fast-paced environment and contribute to cutting-edge projects.
Qualifications
4 to 8 years of experience in Databricks and big data frameworks.
Proficient in AWS services and data migration.
Experience in Unity Catalogue.
Responsibilities
Design, develop, test, and deploy data solutions using Python, PySpark, and SQL.
Collaborate with teams to translate requirements into specifications.
Implement maintainable code following best practices.
Work with Databricks for big data processing.
Utilize AWS services for data migration and transformation.
Skills
Python
PySpark
SQL
AWS services
Databricks
Education
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
Advanced degrees
Tools
Databricks
AWS
Job description
Responsibilities
Design, develop, test, and deploy high-performance and scalable data solutions using Python, PySpark, SQL
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Implement efficient and maintainable code using best practices and coding standards.
AWS & Databricks Implementation:
Work with Databricks platform for big data processing and analytics.
Develop and maintain ETL processes using Databricks notebooks.
Implement and optimize data pipelines for data transformation and integration.
Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
Leverage PySpark for large-scale data processing and transformation tasks.
Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
Share knowledge with the team and contribute to a culture of continuous improvement.
SQL Database Management:
Utilize expertise in SQL to design, optimize, and maintain relational databases.
Write complex SQL queries for data retrieval, manipulation, and analysis
Qualifications & Skills
Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
4 to 8 Years of experience in Databricks and big data frameworks
Proficient in AWS services and data migration
Experience in Unity Catalogue
Familiarity with Batch and real time processing
Data engineering with strong skills in Python, PySpark, SQL
Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, agile environment