Larsen & Toubro Infotech Ltd (LTI)
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Coimbatore · On-site · 1-3 Yrs · Aug 19
Construction · 10000+ Employees · Mumbai, India
Construction conglomerate Larsen & Toubro is committed to building a stronger India. Founded in 1938, the firm and its subsidiaries offer construction and engineering services related to commercial projects. Services include civil and electrical engineering and IT consulting. Larsen & Toubro also makes equipment and machinery used to build weaponry systems and infrastructure facilities including airports, oil and gas platforms, power plants, refineries, roads and bridges, and water treatment facilities. The firm has more than 60 units in some 30 countries. Domestic business within India dominates, but the company is steadily growing its global operations with a focus on China and the Middle East.
What employees say
+ Good Amount and timely salary
− Poor Diversity Inclusion , Innovation and entrepreneurship culture
More reviews on the company profile.
Glassdoor median (Data Engineer): 5.0 LPA
Interview experience · Graduate Engineering Trainee GET
It was great interview easy, basic core questions and technical questions were asked. Interviewer were friendly and asked topic on field instruments and control systems and as such things and overall the experience was g
Average difficulty · Chennai · 1,341 reports
More interview insightsJob description
Overview
Data Engineering Specialist with experience in Google Cloud Platform environment and ETL processes. Requires expertise in Python, PySpark, and BigQuery.
Responsibilities
- Extensive hands-on experience in object-oriented programming using Python PySpark APIs
- Experience in building data pipelines for huge volume of data
- Deep understanding of ETL concepts data warehousing principles SQL
- Hands on experience in writing basic to advance level of optimized queries using SQL BigQuery
- Hands on experience in developing solutions using Dataflow Dataproc and BigQuery
Qualifications
- Extensive handson experience in objectoriented programming using Python PySpark APIs
- Experience in building data pipelines for huge volume of data
- Deep understanding of ETL concepts data warehousing principles SQL
- Hands on experience in writing basic to advance level of optimized queries using SQL BigQuery
- Hands on experience in developing solutions using Dataflow Dataproc and BigQuery
Nice to have
- Familiarity with CICD pipelines eg Jenkins Github Actions
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