Data Engineer
Data Engineer
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Job Description
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field
3-5 years of hands-on experience in data engineering
Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift
Proven expertise in data modeling for analytical workloads
Strong understanding of AWS data services, including:Amazon Redshift, AWS Glue, Amazon
S3, Amazon EMR
Experience with data pipeline and workflow orchestration tools such as Apache Airflow
Hands-on experience with Apache Spark
Proficiency in at least one programming/scripting language such as Python, Java, or Scala
Solid understanding of data quality, validation, and best practices
Nice to have
Experience designing large-scale analytics and reporting platforms
Familiarity with BI tools and downstream analytics use cases
Experience with cost optimization and performance tuning on AWS
Exposure to CI/CD for data pipelines
Key Skills
Amazon Redshift (SQL - Advanced)
Data Modeling (Analytics-focused)
AWS (S3, Glue, EMR)
Apache Airflow
Apache Spark
Python / Java / Scala
Data Quality & Optimization
Bachelor's degree in Computer Science, Engineering, or a related field
3-5 years of hands-on experience in data engineering
Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift
Proven expertise in data modeling for analytical workloads
Strong understanding of AWS data services, including:Amazon Redshift, AWS Glue, Amazon
S3, Amazon EMR
Experience with data pipeline and workflow orchestration tools such as Apache Airflow
Hands-on experience with Apache Spark
Proficiency in at least one programming/scripting language such as Python, Java, or Scala
Solid understanding of data quality, validation, and best practices
Nice to have
Experience designing large-scale analytics and reporting platforms
Familiarity with BI tools and downstream analytics use cases
Experience with cost optimization and performance tuning on AWS
Exposure to CI/CD for data pipelines
Key Skills
Amazon Redshift (SQL - Advanced)
Data Modeling (Analytics-focused)
AWS (S3, Glue, EMR)
Apache Airflow
Apache Spark
Python / Java / Scala
Data Quality & Optimization
More Info
Key Skills
SQL - Advanced
Data Quality Optimization
About Company
Skills:
Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg
Skills:
Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD
Skills:
Kms, Pyspark, Iam, Sql, Python, AWS Lake Formation
Skills:
data engineering , AWS Glue, Data Modeling, Sql, Etl, Step Functions, Airflow, IAM roles and permissions
Skills:
Scala, Python, Spark