Job Description
Data Engineer
Roles and Responsibilities● Understand Business requirements and implement scalable solutions.● Translate complex technical and functional requirements into detailed designs● Develop a highly scalable, reliable, and high-performance data processing pipeline toextract, transform and load data from various systems to the Enterprise Datawarehouse/Data Lake/Data Mesh● Provide research, high-level design and estimates for data transformation and dataintegration from source applications to end-use● Investigate alternatives for data storing and processing to ensure implementation ofthe most streamlined solutions.● Develop comprehensive data products and implement them on cloud or in-houseservers for production use. Technical Skills ● Minimum 6-10 years of progressive experience building solutions in Big Dataenvironments.● Have a strong ability to build robust and resilient data pipelines which are scalable,fault tolerant and reliable in terms of data movement.● Hands-on experience of Apache Spark with Python for batch and stream processing.● Should have knowledge of experience in batch and stream data processing● Exposure working on projects across multiple domains.● Strong hands on capabilities on SQL and NoSQL technologies.● Minimum 3+ years of experience with AWS services like S3, DMS, Redshift, Glue,Lambda, Kinesis, MSK etc. is must have or similar services of either Azure/GCP.● Strong analytical/quantitative skills and comfortable working with huge sets of data.● Excellent written and verbal communication skills.
Job Types: Full-time, Permanent
Pay: ₹160,000.00 - ₹180,000.00 per month
Benefits:
Food provided
Health insurance
Provident Fund
Schedule:
Day shift
Morning shift
Night shift
Rotational shift
Supplemental Pay:
Performance bonus
Yearly bonus
Work Location: In person
Roles and Responsibilities● Understand Business requirements and implement scalable solutions.● Translate complex technical and functional requirements into detailed designs● Develop a highly scalable, reliable, and high-performance data processing pipeline toextract, transform and load data from various systems to the Enterprise Datawarehouse/Data Lake/Data Mesh● Provide research, high-level design and estimates for data transformation and dataintegration from source applications to end-use● Investigate alternatives for data storing and processing to ensure implementation ofthe most streamlined solutions.● Develop comprehensive data products and implement them on cloud or in-houseservers for production use. Technical Skills ● Minimum 6-10 years of progressive experience building solutions in Big Dataenvironments.● Have a strong ability to build robust and resilient data pipelines which are scalable,fault tolerant and reliable in terms of data movement.● Hands-on experience of Apache Spark with Python for batch and stream processing.● Should have knowledge of experience in batch and stream data processing● Exposure working on projects across multiple domains.● Strong hands on capabilities on SQL and NoSQL technologies.● Minimum 3+ years of experience with AWS services like S3, DMS, Redshift, Glue,Lambda, Kinesis, MSK etc. is must have or similar services of either Azure/GCP.● Strong analytical/quantitative skills and comfortable working with huge sets of data.● Excellent written and verbal communication skills.
Job Types: Full-time, Permanent
Pay: ₹160,000.00 - ₹180,000.00 per month
Benefits:
Food provided
Health insurance
Provident Fund
Schedule:
Day shift
Morning shift
Night shift
Rotational shift
Supplemental Pay:
Performance bonus
Yearly bonus
Work Location: In person
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the Database Administrator 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 Database Administrator is a plus.
