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TalentBox Labs
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Data Engineer - ETL/Teradata (2-7 yrs)
TalentBox Labs
posted 2d ago
Key skills for the job
Job Description :
- Design and implement scalable data migration pipelines from Relational databases, Teradata to AWS Databricks.
- Implement ETL processes, data transformations, and performance tuning using Spark and SQL.
- Support automation, data validation, and quality checks to ensure accurate data migration.
- Work closely with senior engineers and architects to enable a secure and efficient migration process.
KEY RESPONSIBILITIES :
- Data Migration Pipeline Development:
- Design and implement scalable data migration pipelines from relational databases and Teradata to AWS Databricks.
- ETL and Data Transformation :
- Implement ETL processes using Spark and SQL.
- Perform data transformations and performance tuning to optimize data processing.
- Automation and Data Quality:
- Support automation efforts for data ingestion and processing.
- Implement data validation and quality checks to ensure data accuracy.
- Collaboration and Support:
- Work closely with senior data engineers and architects to facilitate a secure and efficient migration process.
- Contribute to the overall success of the data migration project.
Required Skills and Experience :
Technical Skills:
- Data Migration:
- Experience in designing and implementing data migration pipelines.
- Familiarity with migrating data from relational databases (e.g., Oracle, SQL Server, DB2) and Teradata to AWS Databricks.
- Databricks and Spark:
- Proficiency in AWS Databricks and Apache Spark (SQL, Python, or Scala).
- Ability to implement ETL processes and data transformations using Spark.
SQL :
- Strong SQL skills for data manipulation and querying.
- ETL/ELT:
Understanding of ETL/ELT concepts.
- Cloud Computing (AWS):
Familiarity with AWS services relevant to data storage and processing.
- Automation:
Experience with scripting or tools for automation (e.g., Python, shell scripting).
- Data Quality:
- Understanding of data validation and quality checks.
Experience :
- Experience in data engineering or related roles.
- Experience in building and maintaining data pipelines.
- Familiarity with cloud environments.
- Experience working in a team environment.
Soft Skills :
- Strong problem-solving and analytical skills.
- Good communication and collaboration skills.
- Ability to work independently and as part of a team.
- Attention to detail.
- Willingness to learn.
Functional Areas: Software/Testing/Networking
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