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Sr. Data Engineer

Sr. Data Engineer

PERMEVObhopal, madhya pradesh, in
14 hours ago
Job description

๐—๐—ผ๐—ฏ ๐—ง๐—ถ๐˜๐—น๐—ฒ : Sr. Data Engineer

๐—๐—ผ๐—ฏ ๐—Ÿ๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป : Chennai, Tamil Nadu, India

๐—๐—ผ๐—ฏ ๐——๐˜‚๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป : Permanent

๐—๐—ผ๐—ฏ ๐—ง๐˜†๐—ฝ๐—ฒ : On-Site

๐—ง๐—ต๐—ฒ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ :

We are seeking a skilled Sr. Data Engineer with 5-8 years of experience in building and managing data pipelines. The ideal candidate will have a strong proficiency in relational and NoSQL databases, as well as experience with data warehouses and real-time data streaming. This role requires excellent problem-solving skills, attention to detail, and the ability to work effectively in a team environment.

๐—ฅ๐—ผ๐—น๐—ฒ๐˜€ & ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€ :

  • Design, build, and maintain efficient and scalable data pipelines to support data integration and transformation across various sources.
  • Work with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) to manage and optimize large datasets.
  • Utilize Apache Spark for distributed data processing and real-time analytics.
  • Implement and manage Kafka for data streaming and real-time data integration between systems.
  • Collaborate with cross-functional teams to gather and translate business requirements into technical solutions.
  • Monitor and optimize the performance of data pipelines and architectures, ensuring high availability and reliability.
  • Ensure data quality, consistency, and integrity across all systems.
  • Stay up to date with the latest trends and best practices in data engineering and big data technologies.

๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ & ๐—ฅ๐—ฒ๐—พ๐˜‚๐—ถ๐—ฟ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€ :

๐— ๐˜‚๐˜€๐˜ ๐—›๐—ฎ๐˜ƒ๐—ฒ :

  • 5-8 years of experience in data engineering, with a focus on building and managing data pipelines.
  • Strong proficiency in relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience in building data pipelines with data warehouses like Snowflake and Redshift.
  • Experience in processing unstructured data stored from S3 using Athena, Glue, etc.
  • Hands-on experience with Kafka for real-time data streaming and messaging.
  • Solid understanding of ETL processes, data integration, and data pipeline optimization.
  • Proficiency in programming languages like Python, Java, or Scala for data processing.
  • Experience with Apache Spark for big data processing and analytics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • ๐—ฃ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฟ๐—ฒ๐—ฑ ๐—ค๐˜‚๐—ฎ๐—น๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ :

  • Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.
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