Etl Engineer Associate Jobs

Good knowledge of Testing Life Cycle, SDLC and Defect Management processes for application support and development.

6-8 years of experience into QE Automation

Strong QE Automation skills using Java and SQL

Technical skills needed - Java, Apache Kafka, Azure SQLDB, Azure data pipeline(ADF), TestNG

Hands on experience in creating Automation Framework and maintenance.

Good knowledge of SQL will be preferable

1. 10+ years of experience with Microsoft BI stack SQL Server, T-SQL, SSIS development required

2. 5+ years of experience with data warehouse, ETL, SSIS to move data / integrate systems required

3. 5+ years of experience with databases, data modeling design required

4. Experience with SDLC methodologies e.g. Agile / Waterfall

• Knowledge on Banking / Risk related systems

• Experience developing code to consuming REST API services

Collaborating with the Product team, Data Architects and Data Modelers to understand requirements (both functional and non-functional) and data.

Work with business stakeholders to understand and iterate over software and business requirements

Strong hands-on development experience in the data space – ETL, Data Mart Design and Development, Analytics and Reporting

Good working experience with Relational databases like Microsoft SQL Server, Oracle, MySQL etc…

Excellent organization, critical-thinking and personal leadership skills

Solid experience as a Senior Software Engineer for Microservices/Cloud.

Free access to our Aspire Academy for continuing professional education

Medical and dental benefits once qualified

Responsible for post repair qualification of molding steel.

Undergraduate university Degree (4 year program), or equivalent experience (Engineering, Science or Math with a specialty in Statistics or Biostatistics)

0 to 3 years of experience in a manufacturing environment would be considered an asset.

Basic Knowledge of: MS Office, SAS JMP, Minitab (or equivalent statistical software)

•Consulting with data management teams to get a big-picture idea of the company’s data storage needs.

•7+ years - Enterprise Data Management

•Translates data access, transformation, and movement requirements into functional requirements and mapping designs.

•4+ years with Data Warehouse Architecture, Snowflake experience preferred

•5+ years Python coding experience

•Experience with Azure Data Factory and Azure DataBricks

Experience on SQL Server/Oracle RDBMS, tables, views, indexing, tuning and data types

Experience on data transformation techniques

Advanced skills of SQL (analytical functions etc.)

Knowledge of SQL, Data warehousing, Data Modelling, Cloud based technologies and cloud tuning

Basic understanding of data modelling techniques

Data Analysis and cleansing techniques

Consulting with data management teams to get a big-picture idea of the company’s data storage needs.

7+ years - Enterprise Data Management

3+ years’ experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints

Must have experience creating highly efficient and customized warehouse environments that perfectly suits the data storage needs of the company.

Translates data access, transformation, and movement requirements into functional requirements and mapping designs.

4+ years with Data Warehouse Architecture, Snowflake experience preferred

Consulting with data management teams to get a big-picture idea of the company’s data storage needs.

7+ years - Enterprise Data Management

3+ years’ experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints

Must have experience creating highly efficient and customized warehouse environments that perfectly suits the data storage needs of the company.

Translates data access, transformation, and movement requirements into functional requirements and mapping designs.

4+ years with Data Warehouse Architecture, Snowflake experience preferred

Consulting with data management teams to get a big-picture idea of the company’s data storage needs.

7+ years - Enterprise Data Management

3+ years’ experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints

Must have experience creating highly efficient and customized warehouse environments that perfectly suits the data storage needs of the company.

Translates data access, transformation, and movement requirements into functional requirements and mapping designs.

4+ years with Data Warehouse Architecture, Snowflake experience preferred

Multi-tasking and time management skills.

Sound overall knowledge of regulatory rules, policies, procedures in the areas of GMP, Quality, Environmental Management and Health & Safety.

Experience and aptitude for equipment, problem solving skills and the ability to think on one's feet in a fast-paced environment.

Developing and validating training and Standard Operating Procedural documentation, establishing technical competency requirements, etc.

Have strong Problem solving and decision-making skills.

Foundational knowledge and understanding of Lean Six Sigma and Continuous Improvement principles.

1. 10+ years of experience with Microsoft BI stack SQL Server, T-SQL, SSIS development required

2. 5+ years of experience with data warehouse, ETL, SSIS to move data / integrate systems required

3. 5+ years of experience with databases, data modeling design required

4. Experience with SDLC methodologies e.g. Agile / Waterfall

• Knowledge on Banking / Risk related systems

• Experience developing code to consuming REST API services

Work with team lead and business users to understand requirements

Excellent written and verbal communication skills

Build any feeds necessary to capture data required into centralized database

Build downstream ETL processes as necessary

Input to Data Model modifications and new design elements as they relate to transformation targets

Ability to multitask several ongoing issues. This involves the ability to assess priority and make appropriate decisions quickly and effectively

Extensive experience with ETL tools Informatica PowerCenter and Microsoft SSIS;

Extensive experience with Azure Data Factory, including:

Experience with CI/CD (DevOps) pipelines and concepts

Experience with Oracle, Microsoft SQL Server database and tools

Extensive knowledge of Azure SQL DB and Synapse

Participate in the review of project, work request and maintenance release artefacts - Use Case, System Requirement Specification, etc.

Have basic knowledge and experience in at least one scripting language (e.g., Ruby, Python, Perl)

Have some knowledge of financial markets and be interested in economics and finance

Have basic knowledge of Git and SQL

Have strong organizational and communication skills, both verbal and written

Be able to write high-quality, well-documented, high-performance code

Be entrepreneurial and enthusiastic about working in a fast-paced environment

ETL Landscape Testing IICS Snowflake Power BI SQL querying skills

High level Joins Stored procs Data Validation and Data Completeness Testing Claims and Insurance functional knowledge

Attend requirement and requirement review session

Provide clarification to offshore team on Requirement Design or test case execution Test Strategy Test Prep and Test Execution

Creating queries and executing test cases for validation purpose

Provide updates to client on ongoing projects and publish reports

Multi-tasking and time management skills.

Sound overall knowledge of regulatory rules, policies, procedures in the areas of GMP, Quality, Environmental Management and Health & Safety.

Experience and aptitude for equipment, problem solving skills and the ability to think on one's feet in a fast-paced environment.

Developing and validating training and Standard Operating Procedural documentation, establishing technical competency requirements, etc.

Have strong Problem solving and decision-making skills.

Foundational knowledge and understanding of Lean Six Sigma and Continuous Improvement principles.

Strong experience in Data Warehousing, data modeling

Strong experience in ETL/ELT processes & implementation

Experience in developing ETL frameworks to pull data from different sources.

Good experience on Azure Cloud Services & Architecture of Azure

Strong knowledge on using Azure resources for different activities.

Experience in Designing Data Pipelines , Security & compliance frameworks.