Senior Data Engineer

Hyderabad, IN

Milestone Technologies, Inc.

The world's leading companies partner with Milestone Technologies, an IT Services and Digital Solutions company to deliver IT services and technologies at scale, accelerate digital operations, develop innovative applications, and drive...

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Job Summary:

We are looking for a highly skilled Senior Data Engineer with 8-10 years of experience to join our offshore team in India. The ideal candidate should have expertise in data engineering, strong hands-on experience with the SODA Data Quality Platform, and excellent communication skills to collaborate with global stakeholders.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Implement and manage data quality frameworks using the SODA Data Quality Platform to ensure data accuracy and reliability.
  • Collaborate with data analysts, data scientists, and business teams to understand data requirements.
  • Work with various data storage technologies such as AWS, Azure, GCP, SQL, and NoSQL databases.
  • Optimize data workflows for performance, scalability, and security.
  • Monitor, troubleshoot, and resolve data pipeline issues proactively.
  • Ensure compliance with data governance, security, and best practices.
  • Provide mentorship and technical guidance to junior data engineers.

Required Skills & Qualifications:

  • 8 + years of experience in Data Engineering, Big Data, or related fields.
  • Expertise in SODA Data Quality Platform for data validation, monitoring, and anomaly detection.
  • Strong proficiency in SQL, Python, Spark, and other data processing frameworks.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) for data processing and storage.
  • Proficiency in data pipeline orchestration tools like Airflow, dbt, or similar.
  • Knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.).
  • Strong understanding of data governance, security, and compliance standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills with the ability to work with global teams and stakeholders.

Nice to Have:

  • Experience with Kafka, Kinesis, or similar streaming technologies.
  • Knowledge of machine learning model deployment and MLOps.
  • Exposure to DevOps and CI/CD for data engineering workflows.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow AWS Azure Big Data BigQuery CI/CD Data governance Data pipelines Data quality Data Warehousing dbt DevOps Engineering ETL GCP Kafka Kinesis Machine Learning MLOps Model deployment NoSQL Pipelines Python Redshift Security Snowflake Spark SQL Streaming

Region: Asia/Pacific
Country: India

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