The Data Analytics Engineer will be responsible for using SQL and other programming languages to pull data from a variety source into a central data platform. They must collaborate with team members and stakeholders to understand data requirements and use that to effectively structure datasets and develop metrics. Data Engineer should be an expert in SQL and data modeling. They must be a self-starter who is able to collaborate with team members and stakeholders develop effective solutions and present findings.
Level: 6 Years relevant experience is must.
Level 2 (3-7 Yrs): 2500 INR/Hourly
: - Bachelors/masters degree in computer science Engineering or a related field
have skills:
- Minimum of 6 years of Data Engineering Experience
- Must be an expert in SQL Data lake Azure ETL
- Must be an expert in data modeling
- Incorta experience is a plus
- Excellent oral and written communication skills
- Self-starter with analytical organizational and problem-solving skills
- Must be highly flexible and adaptable to change
- Power BI
-Strong programming skills in languages such as SQL Python
-Experience with data modelling data warehousing and dimensional modelling concept
-Familiarity with data governance data security.
-Excellent problem-solving and analytical skills.
-Strong communication and collaboration abilities.
to Haves:
Knowledge of big data technologies such as Apache Hadoop Spark or Kafka
Azure Databricks & Azure Cosmos DB
Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate is a plus.
& responsibilities
- Collaborate with team members and stakeholders to understand data and metric requirements
- Pull data from a variety of sources into a central data platform
- Structure datasets and calculate metrics based on requirements
- Develop automated scripts to automate otherwise manual processes
- Communicate concerns and data findings as they arise to the appropriate team members or stakeholders
- Present data findings and solutions in a way that is easy for non-technical team members and stakeholders to understand