FIRMINIQ-Commitment to Excellence and Quality

Technical Skills:

Minimum experience required: 4+ years

Big Data Engineer Responsibilities

As a Big Data Engineer, you’ll be responsible for designing and building high performance, scalable solutions for large volume data ingestion, clean-up, and processing that meet the needs of our enterprise customers. You’ll design, develop, and test robust, scalable data pipelines, microservices, Spark Streaming Applications, and RESTful web services. You’ll work with a variety of teams and individuals to come up with cutting-edge solutions. You’ll be a self-organized member of a team of talented engineer and should be able to collaborate with product managers and designers to help implement and execute recent products and features.

Big Data Engineer Requirements
Experience working on High Availability distributed systems
4+ years of experience:



building business logic layers and back-end systems for high-volume data pipelines and backend applications.
Experienced in evaluating and benchmarking recent technologies/products.
Experienced in java/scala/python
Current experience using SQL/no SQL platforms, and Apache products (kafka, Spark, Hadoop, Cassandra, Druid, HBase)
Experience developing and deploying on linux/unix platforms
Experience with DevOps tools (GitHub, Jira) and methodologies (Agile, Scrum, Kanban, Test Driven Development)
Basic understanding of Security (Kerberos, LDAP, TLS)
Exposure to any public cloud (AWS, GCP) will be a plus.

Deepesh Goel

Seasoned Technology leader with 25 years of diverse experience in delivering software products and solutions across connected healthcare, retail, and finance verticals serving large enterprises as well as nimble startups globally.

📌 Big Data Engineer Chandigarh
🏢 Firminiq
📍 Chandigarh