Job Description
Proficed has a vacancy for the post of Big Data Engineer. Freshers can apply.
Roles and Responsibilities:
• Designing and implementing scalable big data architectures.
• Developing, testing, and maintaining data pipelines and ETL processes.
• Working with cross-functional teams to understand data requirements and provide solutions.
• Ensuring data integrity, availability, and security across distributed systems.
• Optimizing and tuning big data solutions for performance and scalability.
• Collaborating with data scientists and analysts to support advanced analytics.
• Staying up-to-date with the latest trends and best practices in big data engineering.
Eligibility Criteria:
• Strong proficiency in big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data processing frameworks like Apache Flink or Apache Storm.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong understanding of data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with ETL tools and data pipeline orchestration (e.g., Apache NiFi, Airflow).
• Familiarity with NoSQL databases like Cassandra, MongoDB, or HBase.
• Proficiency in distributed computing and parallel processing.
• Experience with data security and governance best practices.
• Having a portfolio of big data projects is highly advantageous.
Roles and Responsibilities:
• Designing and implementing scalable big data architectures.
• Developing, testing, and maintaining data pipelines and ETL processes.
• Working with cross-functional teams to understand data requirements and provide solutions.
• Ensuring data integrity, availability, and security across distributed systems.
• Optimizing and tuning big data solutions for performance and scalability.
• Collaborating with data scientists and analysts to support advanced analytics.
• Staying up-to-date with the latest trends and best practices in big data engineering.
Eligibility Criteria:
• Strong proficiency in big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data processing frameworks like Apache Flink or Apache Storm.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong understanding of data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with ETL tools and data pipeline orchestration (e.g., Apache NiFi, Airflow).
• Familiarity with NoSQL databases like Cassandra, MongoDB, or HBase.
• Proficiency in distributed computing and parallel processing.
• Experience with data security and governance best practices.
• Having a portfolio of big data projects is highly advantageous.
💡 Quick Summary
Seeking a career-building opportunity? The Big Data Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Gurgaon offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
