Job Description

We are looking for Lead Data Engineer who have the right attitude, aptitude, skills, empathy,
compassion, and hunger for learning. Build products in the data analytics space. A passion
for shipping high-quality data products, interest in the data products space; curiosity about
the bigger picture of building a company, product development and its people.
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 to
extract, transform and load data from various systems to the Enterprise Data
warehouse/Data Lake/Data Mesh
? Provide research, high-level design and estimates for data transformation and data
integration from source applications to end-use
? Investigate alternatives for data storing and processing to ensure implementation of
the most streamlined solutions.
? Develop comprehensive data products and implement them on cloud or in-house
servers for production use.

Technical Skills

? Minimum 6-10 years of progressive experience building solutions in Big Data
environments.
? 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: Contractual / Temporary, Freelance
Contract length: 6 months

Pay: ?60,000.00 - ?150,000.00 per month

Work Location: Remote