AWS Data Engineer || Hybrid || Bangalore

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Greetings from Techno Comp Pvt Ltd!!!


We have vacancies for Aws - Bigdata Specialist position.


Senior AWS Data Engineer

This is a great opportunity for someone passionate about working with modern data technologies and optimizing large-scale distributed systems.


Key Responsibilities


  • Design, build, and optimize

    data pipelines and ETL processes

    using

    AWS Glue, Lambda, RDS, and S3

    .
  • Develop scalable

    batch and streaming data processing

    workflows using

    Apache Spark

    ,

    Spark Streaming

    , and

    Kafka

    .
  • Work with

    SQL and NoSQL databases

    (MySQL, PostgreSQL, Elasticsearch) to design schemas and optimize queries for high performance.
  • Write efficient and optimized

    SQL

    for data extraction, transformation, and analytics.
  • Build and maintain data ingestion, transformation, and integration solutions across multiple systems.
  • Collaborate with cross-functional teams (data science, analytics, engineering) to provide reliable, high-quality data.
  • Use

    Scala

    ,

    Java

    , and

    Python

    for data processing and automation scripts.
  • Implement monitoring, logging, and alerting for data pipelines using AWS services (CloudWatch, CloudTrail).
  • Ensure

    data security, compliance, and governance

    using AWS best practices.


Required Skills & Experience


  • 5+ years

    of experience with

    AWS Services

    including

    RDS, AWS Lambda, AWS Glue, EMR, S3

    , and related big data technologies.
  • 5+ years

    of experience working with

    Apache Spark

    ,

    Spark Streaming

    ,

    Kafka

    , and

    Hive

    .
  • Strong experience in

    SQL and NoSQL databases

    (MySQL, PostgreSQL, Elasticsearch).
  • Proficiency in

    Java

    and

    Scala

    , with hands-on scripting experience in

    Python

    and

    Unix/Linux shell

    .
  • Deep understanding of

    Spark programming paradigms

    (batch and stream processing).
  • Advanced knowledge of

    SQL

    , including

    query optimization

    ,

    indexing

    , and

    performance tuning

    .
  • Strong analytical and problem-solving skills with the ability to handle large datasets efficiently.

harishj@tccomputerservices.com

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