As a Data Engineer / Analytics Engineer at ESPL, you will play a crucial role in designing, developing, and maintaining our data infrastructure and analytics pipelines. You will work closely with cross-functional teams to ensure the availability, reliability, and scalability of data for our business intelligence and analytics initiatives.

Key Responsibilities:

1. Data pipeline development

2. Data Modelling

3. Data Integration

4. Data Governance

5. Analytics Support

6. Monitoring and Maintenance

7. Collaboration

Skills Sets:

• Experience should be 5-9 years.

• Proven experience as a Data Engineer / Analytics Engineer.

• Strong proficiency in SQL for data manipulation / query optimization.

• Strong proficiency in programming languages like Python, Scala, Java

• Experience with transformation tools like DBT.

• Experience of Data Modelling

• Experience with Git version control system

• Familiarity with warehouses like Databricks, Snowflake.

• Knowledge of Distributed data processing frameworks like Spark, Hadoop

• Familiarity with data visualization tools like Sigma

• Strong problem solving skills and attention to details.

• Excellent communication skills and teamwork abilities.

Good to haves:

Experience with AI Model development, Training and Evaluation.