AWS Cloud ( Data Engineer

Description

Ameriprise

Requirements

4+ years of overall IT experience, which includes hands on experience in Big Data technologies.
Mandatory Hands on experience in Python and PySpark. Python as a language is practically
usable for anything, we are looking for application Development and Extract/Transform/Load
and Data lake curation experience using Python.
Build PySpark applications using Spark Data frames in Python using Jupyter notebook and
PyCharm(IDE).
Worked on optimizing spark jobs that processes huge volumes of data.
Hands on experience in version control tools like Git.
Worked on Amazon s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
Worked on Amazon s Compute services like Amazon Lambda, Amazon EC2 and Amazon s
Storage service like S3 and few other services like SNS.
Experience/knowledge of bash/shell scripting, PowerShell etc
Experience in designing CFTs/ Terraform templates for deploying Infrastructure-as-code
Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide
variety of formats like CSV, TSV, XML and JSON.
Experience in working with fixed width, delimited , multi record file formats etc.
Good to have knowledge of data warehousing concepts dimensions, facts, schemas-
snowflake, star etc.
Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with
compression techniques Snappy, Gzip.
Good to have knowledge of AWS databases (at least one) Aurora, RDS, Redshift, ElastiCache,
DynamoDB.
Understanding of foundational technologies such as IAM, core IaaS services (compute, storage,
networking).

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!

About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise we help our clients imagine what s possible, and accelerate their transition into tomorrow s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

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