Job Description
Job Title: Data Engineer
???? Location: Hybrid (3 Days in a week WFO)
(Pune, Bangalore, Noida, Mumbai, Hyderabad)
???? Experience: 6 – 10 Years
???? Employment Type: Contract (as applicable)
???? Evaluation Sheet Submission: Mandatory (with one-liner comments)
Key Responsibilities:
• Design, develop, and maintain robust and scalable data pipelines using Python, PySpark, SQL, and Spark SQL.
• Collaborate with data scientists, analysts, and other engineering teams to support data integration, transformation, and delivery.
• Optimize data processing workflows for performance, scalability, and reliability.
• Build reusable components and libraries to streamline data engineering tasks.
• Work closely with business stakeholders to understand data requirements and ensure high data quality.
• Monitor and debug data workflows and resolve issues in a timely manner.
Mandatory Skills & Qualifications:
• 6–10 years of experience as a Data Engineer in large-scale data environments.
• Strong proficiency in:
• Python – scripting and automation
• PySpark – distributed data processing
• SQL & Spark SQL – advanced queries, performance tuning, data modeling
• Hands-on experience with big data frameworks and data lake architectures.
• Solid understanding of ETL/ELT processes, data quality, and data governance principles.
Preferred Skills (Nice to Have):
• Experience with cloud platforms like AWS, Azure, or GCP
• Exposure to tools like Airflow, Kafka, or Delta Lake
• Familiarity with CI/CD practices for data engineering workflows
???? Note:
Candidates must submit an evaluation sheet with one-liner comments for each skill area. Applications without this will not be considered.
If you're a passionate Data Engineer ready to work on high-impact projects using modern big data tools, we’d love to connect with you!
???? Apply now or reach out at [email protected]
Industry
• Retail Apparel and Fashion
Employment Type
???? Location: Hybrid (3 Days in a week WFO)
(Pune, Bangalore, Noida, Mumbai, Hyderabad)
???? Experience: 6 – 10 Years
???? Employment Type: Contract (as applicable)
???? Evaluation Sheet Submission: Mandatory (with one-liner comments)
Key Responsibilities:
• Design, develop, and maintain robust and scalable data pipelines using Python, PySpark, SQL, and Spark SQL.
• Collaborate with data scientists, analysts, and other engineering teams to support data integration, transformation, and delivery.
• Optimize data processing workflows for performance, scalability, and reliability.
• Build reusable components and libraries to streamline data engineering tasks.
• Work closely with business stakeholders to understand data requirements and ensure high data quality.
• Monitor and debug data workflows and resolve issues in a timely manner.
Mandatory Skills & Qualifications:
• 6–10 years of experience as a Data Engineer in large-scale data environments.
• Strong proficiency in:
• Python – scripting and automation
• PySpark – distributed data processing
• SQL & Spark SQL – advanced queries, performance tuning, data modeling
• Hands-on experience with big data frameworks and data lake architectures.
• Solid understanding of ETL/ELT processes, data quality, and data governance principles.
Preferred Skills (Nice to Have):
• Experience with cloud platforms like AWS, Azure, or GCP
• Exposure to tools like Airflow, Kafka, or Delta Lake
• Familiarity with CI/CD practices for data engineering workflows
???? Note:
Candidates must submit an evaluation sheet with one-liner comments for each skill area. Applications without this will not be considered.
If you're a passionate Data Engineer ready to work on high-impact projects using modern big data tools, we’d love to connect with you!
???? Apply now or reach out at [email protected]
Industry
• Retail Apparel and Fashion
Employment Type
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
