Data Engineer
Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
INR INR 3000000 - 5000000
1 Vacancy
Job Description
Key Responsibilities:
- Build and maintain robust data architectures that support organizational needs.
- Collect clean and analyze data from multiple sources to uncover trends patterns and optimization opportunities.
- Develop and maintain dashboards reports and visualizations to communicate insights to stakeholders.
- Implement data processes for Data Warehouse management and internal systems.
- Manage and enhance the Data Engineering architecture ensuring data accuracy and reconciliation.
- Design and implement ETL processes and ensure data availability through reporting platforms.
- Conduct adhoc analysis and deep dives into specific business areas to generate insights and identify root causes.
- Analyze key metrics such as campaign effectiveness customer acquisition conversion rates ROI and segmentation to drive marketing and product performance.
- Provide datadriven recommendations for process improvements and strategic initiatives.
- Plan and execute A/B testing experimentation and hypothesis testing to enhance marketing strategies.
- Partner with stakeholders to understand business objectives KPIs and data requirements.
- Collaborate with crossfunctional teams including Marketing Sales and Product to identify optimization opportunities.
- Support leadership in strategic decisionmaking by providing datadriven insights and scenario analysis.
- Build and lead the data engineering team setting KPIs and mentoring the team for peak productivity and growth.
Requirements:
- 12 years of experience in data analysis and data engineering.
- Proficiency in exploratory data analysis (EDA) for datadriven decisionmaking.
- Strong expertise in:
- Data visualization
- Data warehouse development
- ETL processes and tools
- Cloud platforms
- Programming in Python or R
- Big data technologies
- Designing data pipelines from scratch
- Experience in both B2C and B2B environments.
- Strong knowledge of data governance practices.
Preferred Skills:
- Analytical and problemsolving abilities.
- Excellent communication skills to convey technical concepts to nontechnical stakeholders.
- Project management experience.
- Understanding of business and marketing metrics KPIs and requirements gathering.
- Familiarity with the elearning industry.
- Understanding of subscriptionbased models.
- Experience with customer analytics and content performance analysis.
Ideal Candidate:
- Selfstarter with a proactive approach to identifying datadriven opportunities.
- Adaptable detailoriented collaborative and able to work effectively across teams.
data analysis,architecture,data architecture,project management,data warehouse,analytical and problem-solving abilities,etl processes and tools,data warehouse development,exploratory data analysis,data engineering,excellent communication skills,big data technologies,data visualization,cloud platforms,programming in python,data governance practices,programming in r
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
