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Data Engineer

Data Engineer

Ajackus

5 years

0 Lacs

Hyderabad Telangana India

Posted:1 day ago| Platform:

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Skills Required

data apache spark processing design sql etl software integrity security aws azure gcp engineering scala python java storage hive kafka airflow nosql containerization orchestration docker kubernetes certification databricks devops

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

We are seeking a skilled and detail-oriented Big Data Engineer with strong expertise in Apache Spark to join our dynamic data team. The ideal candidate will have proven experience in designing and implementing large-scale data processing solutions and a strong understanding of distributed computing concepts.

Key Responsibilities

Design and develop scalable data processing solutions using Apache Spark (Core, SQL, Streaming, MLlib).
Build, optimize, and maintain robust data pipelines and ETL processes for structured and unstructured data.
Collaborate with data scientists, analysts, and software engineers to integrate Spark-based data products into production workflows.
Ensure data quality, integrity, and security throughout the data lifecycle.
Monitor, troubleshoot, and improve the performance of Spark jobs in production environments.
Integrate Spark with cloud platforms such as AWS, Azure, or GCP for scalable deployment.

Required Skills and Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
3+ years of hands-on experience with Apache Spark in a large-scale data environment.
Strong proficiency in Scala, Python, or Java (preference for Scala).
Experience with data storage technologies such as HDFS, Hive, HBase, S3, etc.
Familiarity with SQL, Kafka, Airflow, and NoSQL databases.
Understanding of distributed systems and parallel computing concepts.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.

Preferred Qualifications

Certification in Big Data or Spark (e.g., Databricks Certified Developer).
Experience working in a DevOps/CI-CD environment.
Knowledge of data warehousing concepts and tools like Snowflake or Redshift.

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