Data Engineer

Globallogic Technologies Private Limited


Not disclosed

Work from Office

Full Time

Min. 4 years

Job Details

Job Description

Data Engineer with Bigdata expertise IRC216361


Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.


1. Data engineer with 4 to 6 years of hands on experience working on Big Data Platforms
2. Experience building and optimizing Big data data pipelines and data sets ranging from Data ingestion to Processing to Data Visualization.
3. Good Experience in writing and optimizing Spark Jobs, Spark SQL etc. Should have worked on both batch and steaming data processing
4. Good experience in any one programming language -Scala/Python , Python preferred.
5. Experience in writing and optimizing complex Hive and SQL queries to process huge data. good with UDFs, tables, joins,Views etc
6. Experience in using Kafka or any other message brokers
7. Configuring, monitoring and scheduling of jobs using Oozie and/or Airflow
8. Processing streaming data directly from Kafka using Spark jobs, expereince in Spark- streaming is must
9. Should be able to handling different file formats (ORC, AVRO and Parquet) and unstructured data
10. Should have experience with any one No SQL databases like Amazon S3 etc
11. Should have worked on any of the Data warehouse tools like AWS Redshift or Snowflake or BigQuery etc
12. Work expereince on any one cloud AWS or GCP or Azure

Job Responsibilities

Good to have skills:

1. Experience in AWS cloud services like EMR, S3, Redshift, EKS/ECS etc
2. Experience in GCP cloud services like Dataproc, Google storage etc
3. Experience in working with huge Big data clusters with millions of records
4. Experience in working with ELK stack, specially Elasticsearch
5. Experience in Hadoop MapReduce, Apache Flink, Kubernetes etc

We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Job role

Work location

India - Bangalore


Data Science & Analytics

Role / Category

Data Science & Machine Learning

Employment type

Full Time


Day Shift

Job requirements


Min. 4 years

About company


Globallogic Technologies Private Limited

Job posted by Globallogic Technologies Private Limited

This job has expired

Follow us on social media

© 2024 Apna | All rights reserved Privacy Policy Terms & Conditions