Were looking for aPySpark Developer who enjoys working with data at scale and has a strong foundation inPySpark ETL development and SQL. If youre passionate about building efficient data pipelines transforming large datasets into meaningful insights and solving complex data challenges wed love to connect with you.
Requirements
What Youll Do
Develop and maintain robust data pipelines usingPySpark.
Design and build scalableETL processes to support business and analytics needs.
Write optimizedSQL queries for data extraction transformation validation and reporting.
Work with large volumes of structured and unstructured data.
Ensure data quality accuracy and consistency across various data sources.
Identify and resolve performance bottlenecks in existing data workflows.
Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
Participate in code reviews and contribute to data engineering best practices.
What Were Looking For
48 years of experience in Data Engineering or related roles.
Strong hands-on experience withPySpark and large-scale data processing.
Solid expertise in designing and developingETL pipelines.
Advanced SQL skills including query optimization and performance tuning.
Good understanding of data warehousing and data modeling concepts.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Nice to Have
Experience with AWS.
Exposure to Airflow or other workflow orchestration tools.
Familiarity with Hadoop ecosystem technologies.
Experience working with modern data lake or cloud data platforms.
Benefits
Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation
Required Skills:
What Youll Do Develop and maintain enterprise-grade applications using Core Java. Build scalable Microservices using Spring Boot. Design and develop RESTful APIs. Work with Java Spark for large-scale data processing. Write unit tests using JUnit and ensure code quality. Collaborate with cross-functional teams to deliver innovative solutions. What Were Looking For 58 years of Java development experience Strong hands-on experience in Core Java and Java Spark Expertise in Spring Boot Microservices and REST APIs Experience with JUnit and software testing best practices Strong problem-solving and communication skills
Experience- 4-9yearsLocation- HyderabadPySpark Developer ETL & SQLWere looking for a PySpark Developer who enjoys working with data at scale and has a strong foundation in PySpark ETL development and SQL. If youre passionate about building efficient data pipelines transforming large datasets into m...
Experience- 4-9years
Location- Hyderabad
PySpark Developer ETL & SQL
Were looking for aPySpark Developer who enjoys working with data at scale and has a strong foundation inPySpark ETL development and SQL. If youre passionate about building efficient data pipelines transforming large datasets into meaningful insights and solving complex data challenges wed love to connect with you.
Requirements
What Youll Do
Develop and maintain robust data pipelines usingPySpark.
Design and build scalableETL processes to support business and analytics needs.
Write optimizedSQL queries for data extraction transformation validation and reporting.
Work with large volumes of structured and unstructured data.
Ensure data quality accuracy and consistency across various data sources.
Identify and resolve performance bottlenecks in existing data workflows.
Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
Participate in code reviews and contribute to data engineering best practices.
What Were Looking For
48 years of experience in Data Engineering or related roles.
Strong hands-on experience withPySpark and large-scale data processing.
Solid expertise in designing and developingETL pipelines.
Advanced SQL skills including query optimization and performance tuning.
Good understanding of data warehousing and data modeling concepts.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Nice to Have
Experience with AWS.
Exposure to Airflow or other workflow orchestration tools.
Familiarity with Hadoop ecosystem technologies.
Experience working with modern data lake or cloud data platforms.
Benefits
Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation
Required Skills:
What Youll Do Develop and maintain enterprise-grade applications using Core Java. Build scalable Microservices using Spring Boot. Design and develop RESTful APIs. Work with Java Spark for large-scale data processing. Write unit tests using JUnit and ensure code quality. Collaborate with cross-functional teams to deliver innovative solutions. What Were Looking For 58 years of Java development experience Strong hands-on experience in Core Java and Java Spark Expertise in Spring Boot Microservices and REST APIs Experience with JUnit and software testing best practices Strong problem-solving and communication skills