Data Engineer
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Location - Pune
Full time Employee
- Experience: 7+ years in data engineering or a related field.
- ETL Expertise: Proficiency with any standard ETL platform.
- SQL & Data Warehousing: Strong command of SQL for extraction and transformation, along with extensive experience in data warehousing.
- GCP Skills: Hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, and Cloud Storage.
- Scripting: Proficiency in Python and Shell scripting for automation and custom solutions.
- Data Management: Experience handling large-scale datasets and performance optimization.
- Soft Skills: Strong analytical and problem-solving abilities.
- Leadership: Prior experience leading technical teams and managing project delivery is required.
Job ID: 143286447
Skills:
Apache Airflow, Aws Lambda, Amazon Redshift, Amazon S3, Pyspark, AWS Glue, Apache Spark, AWS CloudWatch, Python, AWS
Skills:
data engineering , Database Management Systems, Troubleshooting and optimizing data workflows, ETL processes, Large-scale data processing frameworks and tools, Data quality assurance and validation techniques, Data storage solutions, Designing and implementing data pipelines
Skills:
Azure Data Factory, Sql, Python, Zapier, CRM Tools, low-code no-code tools, data brick, marketing automation platforms, data flows
Skills:
snowflake , Git, Power Bi, Postgres, Data Governance, Data Modeling, Redshift, Sql, ELT, Etl, AWS
Skills:
Unix, Data Modeling, Hadoop, Cloud, Sql, Architecture expertise, Data Integration technologies
