Data Analytics Engineer

2 months ago

Chennai, India Valeo Full time

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Mission

Support organizations need for creating analytics platforms, by creating data pipelines, performing data
transformation, combining data from multiple sources and helping to make business decisions with
dashboards.

Responsibilities

Creating data pipelines:
Read source data from different formats (excel, csv, txt, pdf etc) and transform the data using
suitable scripts in a way to bring out business value from the data
Transfer flat files from on-prem to Cloud platforms (preferably GCP) via ELT or ETL process
Load the data into servers ensuring good data quality, right quantity, technical accuracy and
sufficiency to meet project objectives
Use java/python UDF, Beam scripts to batch process or to stream the data
Knowledge of Cloud Shell, SDK to manage GCP resources
Perform data transformation:
Use appropriate language (Python or R) and SQL to read and clean the data
Transform unstructured data into structured data to make relational databases
Write custom queries to transform data dynamically in a visualization tool
Combine data from multiple sources and make Key Parameter estimates:
Use SQL / Bigquery to query data from multiple sources (Bigquery, Bigtable etc)
Transform the query results to calculate complex parameters
Come up with solution to combine data when key columns have missing values or non-obvious
values
Use ML techniques to identify missing / ambiguous values and make the combined data to be
have more utilization
Driving business decisions and alert stakeholders:
Coordinate with the source teams to ensure right data collection, data quality
Help the internal customers to make business decisions with proper visuals, KPI metrics in a live
dashboard
Participate in the internal discussions to clarify the stakeholders to ensure the outcomes are inline
to meet business needs

Education/Training

BE/B.Tech Information Technology, Computer science, Mechanical

Professional Experience

3-5 years in SQL,BigQuery,GCP, Dashboarding, Python, java, and any visualization tool

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