The Data engineering team is responsible for building and maintaining the data infrastructure that makes this data available and accessible to the entire company to make data driven decisions.
The team works closely with Data analytics / scientists, Product Managers, Executives and other key parts of the business across the globe to understand their data requirements and build appropriate systems and platform that meet or exceed those needs.
Team is committed to evolve and build cloud based event driven data architecture. Engineers are encouraged to think out of the box and play with latest technologies and explore their limits.
Mast Global is looking for talented Data Engineer to help build, scale and maintain the critical data processes and infrastructure.
Contribute to the data design and data preparation by implementing a solid, robust, extensible design that supports key business flows.
Performing all of the necessary data transformations to populate data into Database that is optimized for reporting.
Establishing efficient design and programming patterns for engineers as well as for non-technical peoples.
Designing, integrating and documenting technical components for seamless data extraction and analysis on big data platform.
Ability to Design and develop and support schema objects, build grids, graphs, reports, documents and dashboards
Provide multi-tiered application support including incident management, user, application and data issues, system availability and maintenance including support on call responsibilities as assigned.
Providing operational excellence through root cause analysis and continuous improvement for Data technologies and processes.
Contributing to innovations and data insights that fuel Lbrands vision and mission.
Working in a team environment, interact with multiple groups on a daily basis
Required : Bachelor’s Degree in Computer Science / Information Systems / Mathematics / Sciences
Preferred : Master’s Degree in Computer Science / Information Systems
Required Skills / Qualifications
Essential to have experience in Data Warehousing with in depth knowledge in SQL
Experience working in RDBMS and big data platform building data ingestion, data processing and analytical pipelines (Teradata, MapR preferred)
Experience working with BI tools designing & building Reports, Dashboards & KPI's (MicroStrategy preferred)
Ability to Design, develop and support end to end Data solution (ETL + BI)
Strong analytical skills, map business processes and requirements to a solution design.
Knowledge in Cloud massively parallel processing(MPP) databases (Snowflake preferred)
Hands-on experience in ETL Tools (Talend preferred)
Experience working with Big Data (Hive, Spark, Sqoop etc.)
Experience with streaming data processing frameworks (Spark Streaming, Kafka streams)
Hands-on experience with Cloud data platform Solution building data pipelines in Azure / GCP
Experience developing and deploying ETL solutions on-premises and / or cloud
Good understanding of data modelling and data architecture
Willing to learn new technologies and tools
Experience of working in Agile methodology