About the role

Title: AWS Redshift Data Engineer

Location: India

Location: Chennai/Bangalore/Hyderabad

No.of Positions: 4

What will you do :

Lead the development of automated data management and reporting solutions, reducing manual reporting efforts and significantly improving reporting efficiency and turnaround time.
Develop and maintain Python scripts to interact with various advertising platforms through API integrations (e.g., Facebook Ads, Google Ads, Programmatic Ads Platforms), enabling seamless data extraction and loading to desired platforms.
Provide mentorship and technical guidance to team members, promoting the adoption of best practices in Python scripting, data engineering, and API integrations.
Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solutions.
Monitor automated jobs, troubleshooting data issues as-and-when they arise
Develop and manage interactive dashboards to deliver actionable insights for clients.
Support the development of strong working relationships with third-party data providers that we rely on for access to necessary data

What you’ll need :

· Exceptional communication skills and can communicate effectively to both technical and non-technical stakeholders.

· Should have around 7 years of experience as a Data Engineer

· 5+ years of experience with AWS (including Redshift) and other cloud technologies

· 5+ years of experience designing and maintaining data warehouses (e.g., Redshift, Big Query) as well as building complex ETL/ELT pipelines.

· Expertise in working with real-time and batch data pipelines, including API-based integration workflows.

· Experience in maintaining and executing data onboarding blueprints which map source and target data strategies and aggregations.

· Advanced SQL proficiency, including concepts such as query optimization, indexing, and partitioning.

· Hands-on experience with Python for data-related processes, using libraries like pandas , Numpy , and frameworks like Flask.

· Experience with data monitoring, detection, troubleshooting as well as validation frameworks.

· Proven track record of delivering well-designed, well-tested and performant software solutions and pipelines within an agile environment.