Jobs

Overview of the Role

• We are looking for a smart junior Data Engineer (1-2 years of experience) to join our team building high-performing, enterprise-grade data systems In this role, you will strive for efficiency by aligning data systems with business goals by:

What you’ll be doing

• Uses different data warehousing concepts to build a data warehouse for internal departments of the organization.
• Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.
• Participates in the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts.
• Designs develop, automates, and support complex applications to extract, transform, and load data.
• Ensures data quality.
• Develops logical and physical data flow models for ETL applications.
• Translates data access, transformation, and movement requirements into functional requirements and mapping designs.·
• Be an efficient and supportive team member

Requirements:

• Proven SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Proven analytic skills related to working with unstructured datasets.
• Experience with relational SQL and NoSQL databases, including MySQL and MongoDB.
• Hands-on building and optimizing ‘big data’data pipelines, architectures and data sets.
• Experience with big data tools: Hadoop, Spark, Kafka, etc is a plus.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience with data pipeline and workflow management tools:
• Airflow, etc is a plus.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Proven experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Good knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

Perks of working @ Axis

• Hybrid working conditions.
• Medical Insurance for You and your family.
• Life Insurance.
• Gym subscription.
• Very competitive leave policy including extended Maternity and Paternity leaves.