Job Description This role is responsible for the development and implementation of data warehouse solutions for company-wide application and managing large sets of structured and unstructured data.
The candidate will be expected to analyze complex customer requirements and work with data warehouse architect to gather, define and document data transformation rules and its implementation.
Data Engineers will be expected to have a broad understanding of the data acquisition and integration space and be able to weigh the pros and cons of different architectures and approaches.
You will have a chance to learn and work with multiple technologies and Thought Leaders in the domain. Responsibility
Translate the business requirements into technical requirements
ETL development using native and 3rd party tools and utilities
Write and optimize complex SQL
Design and develop code, scripts, and data pipelines that leverage structured and unstructured data
Data ingestion pipelines and ETL processing, including low-latency data acquisition and stream processing
Design and develop processes / procedures for integration of data warehouse solutions in an operative IT environment.
Monitoring performance and advising any necessary changes.
Create and maintain technical documentation that is required in supporting solutions.
Skills and Qualifications
S. / M.S. in Computer Sciences or related field
Good understanding and basic working experience with at least one cloud service provider : AWS, Azure or Google Cloud and with their native tools. (Azure Preferred)
Hands on experience with at least one ETL tool like SSIS or Data Factory (Preferred).
Strong RDBMS concepts and SQL development skills
Knowledge of data modeling and data mapping
Experience with Data Integration from multiple data sources
Good Data warehouse & ETL concepts
Understanding of one or more business areas and industries : Telecom, Retail, Financial etc.
knowledge of Big Data technologies such as Pig, Hive, Spark, Kafka, Nifi (Good to have)
Experience on any of one development or scripting languages e.g. Java, Groovy or Python (Preferred)
Good understanding of Agile delivery methodologies.
Training / Certification on any cloud service will be a plus.
Good communication and analytical skills
Ability to work in a dynamic and collaborative team environment, demonstrating excellent interpersonal skills
Experience with BI reporting tool either Power BI or Tableau.