Job Description
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฌ-๐ฎ๐ฎ ๐๐ฃ๐)
Experience: 1+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are looking for a motivated and skilled Data Engineer to join our growing data team and build scalable, high-performance data solutions that support business intelligence, analytics, and operational reporting. This role is ideal for professionals with hands-on experience in PySpark, Fivetran, and SQL, along with a passion for designing efficient data pipelines and optimizing modern cloud-based data platforms.
As a Data Engineer, you will be responsible for developing and maintaining ETL/ELT workflows, integrating data from multiple sources, and ensuring high data quality across enterprise systems. You will collaborate with data analysts, architects, and business stakeholders to transform raw data into reliable and actionable insights while continuously improving the performance, scalability, and reliability of data infrastructure.
Requirements
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark, Fivetran, and SQL
- Build and manage ETL/ELT workflows to ingest, transform, and load structured and semi-structured data from multiple data sources.
- Integrate enterprise applications, databases, APIs, and third-party systems into centralized data platforms.
- Develop efficient data transformation logic that ensures data consistency, accuracy, and reliability.
- Write, optimize, and maintain complex SQL queries, stored procedures, and database objects for reporting and analytics.
- Monitor pipeline performance, troubleshoot failures, and resolve data processing issues in production environments.
- Collaborate with business stakeholders, analysts, and data architects to translate business requirements into scalable technical solutions.
- Implement data quality checks, validation processes, and monitoring frameworks to ensure data integrity.
- Optimize data workflows for improved performance, scalability, and cost efficiency.
- Create and maintain technical documentation for data pipelines, architecture, workflows, and operational procedures.
- Support continuous improvement initiatives by identifying opportunities for automation and process optimization.
- Ensure adherence to data governance, security, and engineering best practices throughout the data lifecycle.
What Makes You a Great Fit
- 1+ years of experience as a Data Engineer or in a similar data engineering role.
- Strong hands-on expertise in PySpark, Fivetran, and advanced SQL
- Experience designing, developing, and supporting ETL/ELT pipelines and enterprise data integration solutions.
- Solid understanding of data warehousing concepts, data modeling, and database design principles.
- Experience working with cloud-based data platforms and modern data engineering technologies.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
- Knowledge of performance optimization techniques for data pipelines and SQL workloads.
- Familiarity with version control systems, scripting languages, and modern software development practices.
- Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Self-driven mindset with strong attention to detail and a commitment to delivering reliable, high-quality data solutions.
- Passion for continuous learning and staying updated with emerging data engineering tools and technologies.
