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Senior Data Engineer - Data Acquisition

Senior Data Engineer - Data Acquisition

InfoBeansVadodara, IN
2 days ago
Job description

About the Job

We are seeking a highly skilled Senior Data Engineer – Data Acquisition (ODS) to join our data engineering team. The ideal candidate will have extensive hands-on experience in building and optimizing data ingestion and transformation pipelines using Azure Data Platform , Databricks , Snowflake , and Kafka .

You will be responsible for designing, developing, and maintaining robust data acquisition frameworks that support large-scale analytics and operational data systems.

Job Title

Senior Data Engineer – Data Acquisition (ODS)

Skills

Kafka, Python, Spark, Databricks, SQL, Snowflake, Azure Data Factory (ADF), XML, JSON, Scala (Basic)

Experience Required : 5+ Years

Location : Remote

Notice Period : Immediate to 15 Days Preferred

Job Description

  • Design, develop, and maintain data ingestion and transformation pipelines in an Azure-based environment.
  • Work with Kafka for real-time data streaming and message queuing.
  • Build scalable ETL / ELT pipelines using Databricks (PySpark / Scala) and integrate with Snowflake for analytics workloads.
  • Develop and optimize SQL queries and stored procedures for performance and data accuracy.
  • Utilize Azure Data Factory (ADF) to orchestrate workflows and integrate with various data sources.
  • Work with structured and semi-structured data formats such as XML, JSON, Parquet, and CSV .
  • Collaborate with data architects, analysts, and business teams to deliver high-quality, reliable data pipelines.
  • Ensure code quality, version control, and data security best practices are followed.
  • Contribute to data architecture design discussions and provide technical recommendations for system improvements.

Key Responsibilities

  • End-to-end development of data acquisition solutions for operational and analytical systems.
  • Implement data transformation logic using Spark and Python.
  • Optimize performance of large-scale data pipelines in Databricks / Snowflake.
  • Handle real-time and batch data ingestion via Kafka and ADF.
  • Conduct data validation, profiling, and documentation of technical specifications.

    • Qualification & Certification

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • Microsoft Azure or Snowflake certification (preferred).
  • Strong understanding of modern data engineering best practices.

    • Good to Have

  • Experience with DevOps tools and CI / CD pipelines for data deployment.
  • Exposure to data modeling and data warehouse design .
  • Familiarity with other streaming platforms or data orchestration tools.

    • About InfoBeans

    InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in custom software development, enterprise solutions, cloud, AI / ML, UX, automation, and digital transformation services.

    At InfoBeans, we live by our core purpose of “Creating WOW!” — for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces.

    🔗 https : / / infobeans.ai /

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    Senior Data Engineer • Vadodara, IN