Posted:3 hours ago| Platform: Linkedin logo

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Skills Required

aws data design processing etl integration vpc iam redshift elasticsearch dynamodb programming python pyspark scripting terraform kafka spark sql kubernetes databricks

Work Mode

On-site

Job Type

Full Time

Job Description

Role:

Location:

Experience:


Key Responsibilities:

  • Design and develop

    data processing pipelines

    using AWS and big data technologies.
  • Implement

    high-performance data ingestion pipelines

    with Databricks.
  • Work on ETL, data modeling, integration, and large-scale datasets.
  • Handle multiple file formats (Parquet, AVRO, ORC, CSV, JSON).
  • Collaborate with stakeholders to understand requirements and deliver solutions.


Must-Have Skills:

  • AWS Services: EC2, VPC, IAM, S3, Athena, Kinesis, Glue, QuickSight, EMR, Redshift, RDS, Elasticsearch, Lambda, DynamoDB, ElastiCache.
  • Programming: Python, PySpark, Shell scripting, Terraform/CFT.
  • Big Data: Kafka, Spark SQL, DataFrames, Hive.
  • CI/CD tools experience.
  • Strong knowledge of data design and management.


Good-to-Have:

  • ECS, ECR, KMS, Kubernetes, Docker.
  • AWS & Databricks certifications.

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