Sr. Data Engineer

NeoSOFT Technologies · IT Outsourcing & Dedicated Teams · Mobile App Development Services · Python · SQL · ETL/ELT · 4 days ago
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Salary
≈ $19k – $42k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 8+ years exp

First seen by Alion on Oct 24, 2026.

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NeoSOFT Technologies

NeoSOFT Technologies is an Indian IT services company that provides custom software development, mobile and web application development and dedicated offshore engineering teams to clients worldwide. Its developers work in Java, .NET, Oracle and full-stack technologies from development centres in Mumbai, Pune, Bengaluru, Ahmedabad and other Indian cities. The company is headquartered in Mumbai, Maharashtra, India.
neosofttech.com · HQ: Mumbai, India · IT Outsourcing & Dedicated Teams · Web Development Services · Mobile App Development Services · Custom Software Development · Est. 1996
Tech stack of NeoSOFT Technologies

Responsibilities:

  • Design and develop scalable batch and near-real-time ETL/ELT pipelines using Snowflake (AWS) and Apache Spark (PySpark, Spark SQL, Structured Streaming).
  • Build structured streaming pipelines using Kafka and Spark Structured Streaming.
  • Design dimensional data models (Fact/Dimension, SCD Type 2). Orchestrate pipelines using Databricks Workflows / Apache Airflow. Integrate CI/CD pipelines using Jenkins, Git, Bitbucket/GitHub for automated deployment across DEV/UAT/PROD.


Requirements:

  • Apache Spark (Core, Structured Streaming) PySpark Databricks (AWS/Azure) Advanced SQL DevOps & CI/CD Jenkins Git/GitHub/Bitbucket Programming Python SQL Cloud and Infrastructure AWS (S3 EMR, EC2 IAM, CloudWatch) Databricks Runtime & Cluster Management.
  • Preferred Streaming & Integration Apache Kafka Snowflake integration (preferred) Airflow (preferred).


Preferred Qualification:

  • Experience in financial services, payouts, or enterprise data platforms.
  • Hands-on experience in Delta Lake optimisation and incremental processing strategies.
  • Experience with Snowflake data warehousing.
  • Strong understanding of distributed computing principles.

Skills

amazon web services, apache spark, aws, databricks, ec2, emr, iam, s3, spark

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