Data & Analytics Engineer
New
J
JobgetherData & Analytics
IndiaFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3-4 years of experience
- Required Skills
- AWSPythonSQLApache AirflowBusiness IntelligenceETLData modelingPySpark
Requirements
- 3-4 years of experience in data engineering, analytics engineering, or a related field.
- Strong SQL skills, preferably with experience in Redshift or similar modern data warehouse platforms.
- Solid programming experience with Python and PySpark for data processing and transformation.
- Hands-on experience with AWS data services, including S3, Glue, Redshift, and CloudWatch.
- Experience with workflow orchestration tools such as Apache Airflow, including developing, debugging, and deploying DAGs.
- Strong understanding of data modeling and data warehousing concepts.
- Experience creating BI dashboards using tools such as QuickSight, ThoughtSpot, Tableau, or Power BI.
- Ability to quickly understand new products, business contexts, and complex data structures.
- Strong problem-solving, communication, and collaboration skills.
- Ability to work independently while coordinating effectively with product, engineering, DevOps, and customer-facing teams.
Responsibilities
- Own dashboard delivery from development to production, including creating metrics, filters, managing refresh processes, and validating releases.
- Build and maintain batch and streaming ETL pipelines using cloud data technologies and distributed processing frameworks.
- Develop, optimize, and troubleshoot SQL queries within modern data warehouse environments.
- Support near-real-time data ingestion workflows and ensure reliable data movement across systems.
- Investigate analytics issues, identify root causes, and communicate findings effectively with technical and business stakeholders.
- Monitor data pipelines, dashboards, and workflows to ensure reliability, performance, and availability.
- Participate in incident resolution, troubleshooting activities, and root cause analysis.
- Develop strong product and business understanding to translate requirements into effective data models and analytics solutions.
- Ensure data accuracy, consistency, validation, and governance across multiple data sources.
- Collaborate with cross-functional teams to continuously improve analytics capabilities and operational processes.
View Full Description & ApplyYou'll be redirected to the employer's site
