Senior Data Engineer

1 day ago

Chennai, Tamil Nadu, India Info Services Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title: Senior Data Engineer

Job Summary

We are looking for a highly skilled
Senior Data Engineer
with expertise in designing, building, and optimizing large-scale data pipelines and integration frameworks. The ideal candidate will have strong experience in
batch and near real-time data processing
within the
AWS ecosystem
, with hands-on exposure to
Databricks, Spark, Flink, and Kafka
. This role requires strong programming skills, advanced SQL knowledge, and the ability to architect scalable, high-performance data solutions to support analytics, AI/ML, and business intelligence initiatives.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines for batch and near real-time data processing.
  • Develop and optimize ETL/ELT workflows using
    Spark, Flink, and Databricks
    .
  • Work extensively within the
    AWS ecosystem
    (S3, Glue, EMR, Redshift, Lambda, etc.) to build reliable data solutions.
  • Implement real-time data streaming and messaging solutions using
    Kafka
    .
  • Write efficient, reusable, and scalable code in
    Scala and Python
    .
  • Design, optimize, and maintain complex queries in
    SQL and SparkSQL
    .
  • Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and governance.
  • Monitor, troubleshoot, and optimize data workflows for performance and cost-efficiency.
  • Drive best practices in data engineering, automation, and DevOps for data platforms.

Required Skills & Qualifications

  • Proven experience in
    Batch & Near Real-Time Data Integration
    .
  • Strong hands-on expertise with the
    AWS ecosystem
    (data services).
  • Solid experience with
    Databricks, Apache Spark, Flink, and Kafka
    .
  • Proficiency in
    Scala and/or Python
    programming.
  • Strong expertise in
    Advanced SQL and SparkSQL
    for data processing.
  • Strong understanding of distributed data processing and large-scale data architecture.

Preferred Skills

  • Experience with
    Snowflake
    for data warehousing and analytics.
  • Exposure to modern CI/CD, data versioning, and orchestration tools (Airflow, dbt, etc.).
  • Strong problem-solving skills with a focus on scalability and efficiency.

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