AWS Data Engineer ( Immediate Joiner)

6 years

30 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Vacancy with a company focused on digital transformation, specializing in intelligent automation, digitalization, data science & analytics, and mobile enablement. They help businesses improve cost efficiency, productivity, and agility by reducing turnaround time and errors. The company provides services and solutions including operations digital transformation consulting, next-gen shared services setup consulting, cognitive RPA deployment, and AI-enabled CX enhancement. Founded in 2020 ;with HQ in Gurugram, India; the Company is now operating from Noida, Mumbai, Hyderabad, and Bengaluru as well.

Job Role:

6+ years of experience in Data Engineering on the AWS Stack, PySpark and DBT. Programming experience with advanced Python, SQL . Experience with Kubernetes and Docker . Hands on experience with AWS services such as Cloud Formation, S3, Lambda, Step Functions, IAM, KMS, Athena, Glue, Glue Data Brew, EMR/Spark, Data Sync, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail. Good experience building Real-Time streaming data pipelines with Kafka, Kinesis, etc. Proven competency in building solutions on data lake/data warehouse.

  • experience in Big Data, PySpark, and AWS development, specializing
  • in application development, enhancement, and service delivery.
  • ● Development of high volume and low latency applications and delivering high-availability and performance.
  • ● Efficient in analysis and understanding of the business environment.
  • ● Experienced in development of AWS Infrastructure.
  • ● Experienced in spark and with excellent knowledge and its functioning.
  •  Data Modeling Tools: Erwin, ER studio, MySQL Workbench, Hackolade, Oracle data modeler

Job Types: Full-time, Permanent

Pay: Up to ₹3,000,000.00 per year

Benefits:

  • Cell phone reimbursement
  • Internet reimbursement
  • Life insurance
  • Paid sick time
  • Paid time off
  • Work from home

Work Location: In person

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