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Data Engineer | 6+ years of experience @ Globallogic

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 Data Engineer | 6+ years of experience

Job Description

Description:

Year of exp- 5 to 8 Years

Location- Pune, Noida, Bangalore


Requirements:
  • Strong experience with MS SQL Server and Snowflake
  • Solid knowledge of AWS cloud services (e.g., S3, EC2, Glue, Lambda)
  • Proficient in Python and C# for scripting, API integration, and data processing
  • Experience working with Apache NiFi for data ingestion and orchestration
  • Hands-on with Apache Airflow for scheduling and managing workflows
  • Proficient in Apache Spark for big data processing and transformation
  • Experience working with Qubole or similar data lake platforms
  • Strong problem-solving skills and attention to detail
  • Excellent communication and collaboration abilities

Job Responsibilities:
  • Design and develop scalable ETL/ELT pipelines using Apache NiFi, Airflow, and Spark
  • Implement and manage data workflows across AWS cloud services, including data ingestion, transformation, and storage
  • Develop and optimize queries in MS SQL and Snowflake for efficient data retrieval and reporting
  • Collaborate with data scientists, analysts, and application developers to ensure reliable and timely data delivery
  • Build and maintain data lake solutions on Qubole, ensuring data quality, governance, and security
  • Write clean, efficient code in Python and C# for automation, integration, and backend data processing tasks
  • Ensure pipeline and job reliability through monitoring, alerting, and error handling
  • Participate in performance tuning and optimization of data jobs and warehouse structures
  • Drive best practices for data modeling, metadata management, and documentation

What 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 Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Globallogic
Location(s): Noida, Gurugram

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Keyskills:   api integration glue pyspark sql cloud scripting apache data modeling spark aws cloud etl big data communication skills c# snowflake python cloud services airflow data processing data engineering sql server amazon ec2 apache nifi s lambda expressions collaboration aws

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Globallogic

GlobalLogic is a full-lifecycle product development services leader thatcombines deep domain expertise and cross-industry experience to connectmakers with markets worldwide. Using insight gained from working on innovative products and disruptive technologies, we collaborate with customers to...