Data Engineer
Call Quest Solution is hiring a Data Engineer to build and optimize scalable data pipelines and workflows. The role focuses on designing ETL solutions, managing data storage, and supporting cloud-based infrastructure. Candidates should have strong proficiency in SQL, Python, and big data technologies like Spark or Kafka. The position involves collaborating with data teams to implement quality standards and automation.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Call Quest Solution is hiring a Data Engineer to build and optimize scalable data pipelines and workflows. The role focuses on designing ETL solutions, managing data storage, and supporting cloud-based infrastructure. Candidates should have strong proficiency in SQL, Python, and big data technologies like Spark or Kafka. The position involves collaborating with data teams to implement quality standards and automation.
TAL's take
Tier-2 company with standard, well-defined data engineering scope and clear requirements.
Clear and coherent responsibilities and technical requirements that define a standard data engineering role.
Must haves
- Strong expertise in SQL and Python
- Experience with Spark, Hadoop, or Kafka
- Knowledge of ETL tools and frameworks
- Familiarity with AWS Redshift, Snowflake, or BigQuery
- Experience with Airflow or workflow orchestration tools
- Understanding of data warehousing concepts
Tools and skills
Nice to have: real-time data processing, machine learning pipelines, cloud-native architectures, agile.
About the company
unfamiliar company, default mid-tier
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