Location: Bangalore (Hybrid)

Experience: 7-10 years of overall experience. 5+ years of relevant experience.

Responsibilities: -

Create and maintain optimal data pipeline architecture. - Assemble complex data sets that meet functional / non-functional requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing

data delivery, re-designing infrastructure for greater scalability, etc. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide

variety of data sources using SQL, Dbt and AWS 'big data' technologies. - Build analytics tools that utilize the data pipeline to provide actionable insights into employee experience,

operational efficiency, and other key business performance metrics. - Work with stakeholders to assist with data-related technical issues and support associated data

infrastructure needs. - Build processes supporting data transformation, data structures, metadata, dependency and workload

management. - Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers

(such as AWS and Azure) and find ways to apply them back help their team. - Work with data scientists and analysts to strive for greater functionality in our data systems.

Minimum Qualifications: -

We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative

field. - 5+ years of hands-on experience in Snowflake - 5+ years of working in dbt with knowledge on advanced dbt concepts like macros and Jinja templating. - Advanced working SQL experience working with relational databases, query authoring (SQL) and working

familiarity with a variety of databases. - Experience with scripting languages such as Python. - Experience with big data tools such as PySpark. - Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, -

RDS, or Redshift. - Experience working with APIs to pull and push data. - Experience optimizing 'big data' data pipelines, architectures and data sets. - Experience performing root cause analysis on internal and external data and processes to answer specific

business questions and identify opportunities for improvement.

Preferred Qualifications: -

Experience working with AWS CloudFormation templates is a plus. - Familiarity with Agile and SCRUM methodologies is a plus. - Experience working with PowerBI to develop dashboards is a plus. - Analytical skills related to working with unstructured datasets. - A successful history of processing value from large, disconnected datasets. - Experience working with agile, globally distributed teams. 

Primary Skills: dbt, Python, SQL, Spark

Secondary Skills: Data Warehousing, Data Analytics, AWS