Browse Jobs
Explore open roles across India.Explore active software roles. Sign up to apply and get AI match scores.
Top MatchesTop Job Matches
Loading jobs…
Back to Browse Jobs
Investec
Data Engineering Specialist (12397) | Mumbai, IN
Investec
Mumbai•Remote•2 hours ago
Job description
Remote
Overview
Data Engineering Specialist (12397)
Responsibilities
- Work closely with end-users and Data Analysts to understand the business and their data requirements.
- Carry out ad hoc data analysis and transform data using Databricks, MS Fabric, or Synapse Analytics.
- Building meta-data driven data ingestion patterns using Azure Data Factory and Databricks, or MS Fabric, or Synapse
- Build and maintain the on-premises SQL Data Warehouse.
- Build and maintain business focused data products.
- Build and maintain Azure Analysis Services cubes.
- Work with Architecture and Engineering teams to deliver projects, and ensure that supporting code and infrastructure follows best practices outlined by these teams.
- Collaborate with Data Engineering Lead, Data Domain Lead and Architect to drive group engineering context within the team continuously.
- Develop and promote exceptional engineering documentation and practices.
- Actively engage with the business units engineering community to promote knowledge sharing.
- Collaborate with squad leader, Head of, engineers, and architects to ensure cohesive strategies and practices within the team.
- Actively encourages creating Investec open-source software where appropriate within the business unit.
- Actively encourages team members within the business unit to speak at technical conferences based on the work being done.
- Proven engineering expertise (8+ years)
- Excellent data analysis and exploration using T-SQL
- Strong SQL programming (stored procedures, functions)
- Extensive experience with SQL Server and SSIS
- Knowledge and experience of data warehouse modelling methodologies, in particular Star Schema and Snowflake Schema
Qualifications
- Build 'infrastructure-as-code' deployment pipelines.
- Familiarity with modern engineering practices and data store design, in particular Lakehouse and Medallion architecture.
- Familiarity with the Data as a Product approach
- Excellent analytical and problem-solving skills, with the ability to think critically and strategically.
- Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
- To always act with integrity and embrace the philosophy of treating our customers fairly.