Roles and Responsibilities

In this role, you will:

- Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
- Leverage technical data dictionaries and business glossaries to analyze the datasets.
- Perform data profiling and data analysis for any source systems and the target data repositories.
- Understand metadata and the underlying data structures needed to standardize the data load processes.
- Develop data mapping specifications based on the results of data analysis and functional requirements
- Perform a variety of data loads & data transformations using multiple tools and technologies.
- Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
- Validate the data mapping results and match with the expected results.
- Leverage/Implement Data Quality (DQ) rules provided.

Education Qualification:

Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.

Desired Characteristics Technical Expertise:

- Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques.

- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis.
- Hands-on experience in programming languages like Python. Unix
- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL.
- Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models.
- Experience with data warehousing, Big Data. NRT - Kafka.
- Exposure to unstructured datasets and ability to handle XML, JSON file formats
- Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica.

-Exposure or experience in Databricks.

- Experience using 'Low code, No code' tools like Microsoft/Github co-pilot.

Domain Expertise:

- Exposure to handling enterprise ERP and CRM data.
- Knowledge of for industrial applications in a commercial/finance/manufacturing settings.
- Exposure to finance and accounting data domains.

Leadership skills:

- Partner with other team members to understand the project objectives and resolve technical issues.
- Communicate project status or challenges in a clear and concise manner to the cross team members.

- Ability to drive technical solutions to meet business outcomes.