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Data Engineer IRC236522
Job: | IRC236522 |
Location: | India - Bangalore |
Designation: | Consultant |
Experience: | 5-10 years |
Function: | Engineering |
Skills: | AWS, Azure, ETL, Python, Snowflake, SQL |
Work Model: | Hybrid |
Description:
Cloud solution for gathering metrics from million devices in the field. Storing that data, doing transformation, preparing reports, BI, etc.
Requirements:
Bachelor’s degree in computer science, engineering, or a related field
6+ years of experience in data engineering with an emphasis on data analytics and reporting.
4+ years of experience with at least one of the following cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
3+ years of experience with scripting languages Python/PySpark, SQL, Kafka
6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Snowflake, SQL Server, PostgreSQL, Redshift, Azure Synapse, etc.)
4+ years of experience in any Relational, MPP Columnar and No-SQL Databases
6+ years of experience in the design and build of data extraction, transformation, and loading processes thru data pipelines.
3+ years of experience designing and building solutions utilizing various Cloud services such as Databricks, S3, EMR, Kinesis, Snowflake, API gateway, etc.
Experience working with agile development methodologies such as Sprint and Scrum.
Experience in Quicksight is a bonus
Preferences:
Job DescriptionBachelor’s degree in computer science, engineering, or a related field
6+ years of experience in data engineering with an emphasis on data analytics and reporting.
4+ years of experience with at least one of the following cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
3+ years of experience with scripting languages Python/PySpark, SQL, Kafka
6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Snowflake, SQL Server, PostgreSQL, Redshift, Azure Synapse, etc.)
4+ years of experience in any Relational, MPP Columnar and No-SQL Databases
6+ years of experience in the design and build of data extraction, transformation, and loading processes thru data pipelines.
3+ years of experience designing and building solutions utilizing various Cloud services such as Databricks, S3, EMR, Kinesis, Snowflake, API gateway, etc.
Experience working with agile development methodologies such as Sprint and Scrum.
Experience in Quicksight is a bonus
Job Responsibilities:
Gather and evaluate client’s business needs and priorities in their analytics and data platform management.
Act as liaison with technology and key business partners
Translate business requirements into technical specifications; establish and
define details, definitions, and requirements of applications, components and enhancements.
Take part in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
Design and Develop data pipelines / APIs using Python, PySpark and SQL on Databricks/AWS Cloud
Have an analytical, data/metadata-driven mindset to drive and understand business and monitor cloud resources health.
Build large-scale batch and real-time data pipelines with data processing frameworks in AWS cloud
Was wir anbieten
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!