PT Commeasure Solutions Indonesia (Reddoorz) | Jobs | Data Engineer | BigDataKB.com | 02-02-22

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    Job Location: India

    • Requirements:Over 2-5 years of experience in designing scalable and secure pipelines for data needs

    • Experience with data replication tools such as Fivetran, Stitch, Meltano or Airbyte.

    • Strong analytical skills related to working with semi-structured datasets such as json.

    • Experience with AWS cloud services such as ECS, EC2, EMR, S3, IAM.

    • Experience working with a modern data warehouse (Snowflake, Redshift, BigQuery, or similar).

    • Experience creating orchestration architecture for MLOps, Data Ingestion, Data Transforms, Reverse ETL using Airflow/Prefect/Dagster.

    • Experience in data-related programming languages such as Python/Scala/Java or similar.

    • Experience with devops tools (Jenkins, Github Actions, Gitlab CI) will be preferred.

    • Experience in Spark (PySpark, SparkSQL) would be a plus.

    • Familiarity with Kafka or similar streaming tools would be a plus.

    • Responsible:Build the infrastructure required for optimal ELT pipelines from a wide variety of data sources.

    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

    • Apply software engineering best practices like version control, continuous integration/deployment, release management and peer reviews.

    • Create pipelines as a service for data analyst and data scientist team members to assist them in building and optimizing products into an innovative industry leader.

    • Keep data separated and secured across various regions in AWS.

    • Understanding of various factors impacting cost optimization for AWS services.

    • Governance / Best Practices – adhere and contribute to enterprise data governance standards. Also, educate and support colleagues in best practices to ensure that data is used appropriately.

    • Good understanding of data warehousing and modelling concepts.

    • Strong project management and organizational skills.

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