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Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer

Key Responsibilities

  • Design, build, and maintain

    data pipelines

    for batch and real-time processing.
  • Develop and optimize

    ETL/ELT workflows

    to ingest, transform, and load data.
  • Ensure

    data quality, reliability, and governance

    across systems.
  • Work with

    cloud platforms

    (AWS/GCP/Azure) to manage storage, compute, and streaming solutions.
  • Implement best practices for

    data modeling, warehousing, and schema design

    .
  • Collaborate with cross-functional teams to understand data needs and deliver scalable solutions.
  • Monitor, troubleshoot, and optimize

    data pipelines and workflows

    .
  • Maintain

    documentation

    for data processes and architecture.

Required Skills & Qualifications

  • Bachelor’s/Master’s degree in

    Computer Science, Data Engineering, or related field

    .
  • Strong proficiency in

    SQL

    and data modeling.
  • Hands-on experience with

    ETL tools

    (Airflow, dbt, Informatica, Talend, etc.).
  • Experience with

    big data frameworks

    (Apache Spark, Hadoop, Kafka, Flink).
  • Strong programming skills in

    Python/Scala/Java

    .
  • Familiarity with

    data warehousing solutions

    (Snowflake, Redshift, BigQuery, Synapse).
  • Experience working with

    cloud data platforms

    (AWS Glue, GCP Dataflow, Azure Data Factory).
  • Understanding of

    data governance, security, and compliance

    .

Nice-to-Have Skills

  • Experience with

    real-time streaming pipelines

    (Kafka, Kinesis, Pulsar).
  • Exposure to

    containerization & orchestration

    (Docker, Kubernetes).
  • Knowledge of

    machine learning pipelines (MLOps)

    .
  • Familiarity with

    DevOps tools

    for CI/CD in data engineering.

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CareerXperts Consulting

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Bangalore Karnataka

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