Senior Data Engineer

We are expanding our stellar engineering team to lead our customers through their most critical digital transformation journey, including cloud strategy, migrating from legacy systems, and application modernization through its products and services. We are looking for someone who has experience working with cloud technologies.

Must Have

• 3-6 years of industry experience in the following skill set.
• Hands on experience in Apache Airflow, Spark Streaming/SQL.
• Hands on experience in Scala/Python.
• Hands on experience in BigData/ETL – Hadoop concepts, Hive, Data Storage (HDFS Data locality concepts)
• Strong handle at software programming practices and principles
• Ability to perform low level design or implement given module independently.
• Exposure to full SDLC implementations with contributions to design. Seek diverse technologies/platform background with awareness to industry tools.
• Ability to lead a team of Data Engineers to work closely with Customer and deliver as per their business needs as per industry standards
• Operating knowledge of cloud computing platforms- AWS ( Redshift, Glue, DynamoDB, EMR)

Good To Have

• Delta.io (Lakehouse Framework) or worked on Lakehouse Architecture
• Kafka

Role

• You will be responsible for implementing a Data Lakehouse architecture using Delta.io, which will enable the customer to make insights driven decisions with greater access, speed, use of data and analytics as per their business needs.
• Responsible for performing the low-level design and developing the code base
• Independently expand the coarse requirements/specifications to engineering details – be ingenious towards such implementation
• Lead a team of Data engineers and collaborate with customer/multiple teams in release execution cycles & manage the implementation/delivery of suggested module independently as per industry standards

Technical Skills

BigData/ETL – Hadoop concepts, Hive, Data Storage, Spark Streaming/SQL, Scala/Python, AWS