Staffbee Solutions INC | Senior Data Engineer

2 weeks ago

Vijayawada, India Staffbee Solutions INC Full time
Looking for Freelance Opportunity In Data engineering?

We are seeking the

Data Engineer Panelist @ 8+ years

of Experience

This Is a

Freelace_WFH/Remote_USA Shift Opportunity

Must have atleast

8+

Years of exp at any one One cloud Tech

@ GCP, AZure or AWS

should have excellent knowledge @

Hadoop, python/pyspark, Bigdata,SQL & ETL

Role Overview:We are seeking a highly experienced Data Engineer to serve as a panelist for evaluating candidates in technical interviews. This role requires a deep understanding of advanced data engineering technologies and practices, along with strong assessment capabilities.

Key Responsibilities:Conduct technical interviews to evaluate candidates expertise in Data Engineering.Provide detailed feedback on candidates’ performance and technical proficiency.Collaborate with the hiring team to refine interview processes and evaluation criteria.

Qualifications:Mandatory Technical Expertise:Cloud Platforms:

Advanced knowledge in at least one cloud platform (GCP, Azure, AWS), including services like BigQuery, Azure Synapse, or AWS Redshift.Big Data Frameworks:

Expertise in Hadoop ecosystem components (HDFS, YARN, Hive, HBase), and Spark (including PySpark).Programming:

Proficiency in Python (including libraries like Pandas, NumPy, and PyArrow) and Scala.ETL Processes:

Extensive experience in designing and implementing complex ETL pipelines using tools like Apache NiFi, Airflow, or Informatica.Data Modeling:

Strong skills in data modeling for both structured and unstructured data, including dimensional modeling and schema design.SQL Expertise:

Advanced knowledge of SQL, query optimization, and handling large-scale relational databases (e.g., PostgreSQL, MySQL, or Snowflake).Data Storage & Processing:

Familiarity with NoSQL databases (e.g., Cassandra, MongoDB) and distributed data processing techniques.DevOps for Data Engineering:

Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform).Security:

Knowledge of data security protocols, encryption methods, and compliance standards like GDPR or HIPAA.Additional Skills:Experience with real-time data processing frameworks like Kafka, Flink, or Storm.Hands-on knowledge of machine learning pipelines and MLOps tools like MLflow.Familiarity with data governance and cataloging tools like Apache Atlas or Collibra.Soft Skills:Exceptional communication and interpersonal skills to effectively engage with candidates.Proven ability to assess technical knowledge accurately and provide constructive feedback.

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