Senior Data Engineer
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Experience- 6+years
Work Mode- All 5 days WFO
Budget- Best in industry
Location- Bengaluru/ Hyderabad
Job Description
AWS Glue, Amazon EMR, Amazon Redshift,Pyspark,Python,SQL
Cloud and AWS Expertise:
In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg,EMR, and Athena.
Strong understanding of cloud architecture and best practices for high availability and fault tolerance.
Data Engineering Concepts:
Expertise in ETL/ELT processes, data modeling, and data warehousing.
Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.
Proficiency in handling structured and unstructured data.
Programming and Scripting:
Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development.
Expertise in working with data warehousing solutions like Redshift.
Job ID: 153640053
Skills:
Pyspark, Dimensional Modeling, Jira, Sql, Git, Confluence, Gcp, Azure, Python, Azure DevOps, AWS, Etl, cdc, Medallion Architecture, SAP HANA to Snowflake migration, Snowflake Architecture, dbt, ELT Development, SCD Type 1
Skills:
Scala, Spark ecosystem
Skills:
Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt
Skills:
snowflake , PostgreSQL, BI, Informatica, Performance Tuning, ELT, Data Migration, Python, AWS, Pyspark, Ml, Data Modelling, SQL Server, Redshift, UNIX, Sql, Powerbi, Linux, MongoDB, Data Warehouse, Aws S3, Etl, Fivetran, Ai, Looker, Cloud Data Warehouse, dbt, Stored Procedures, Hyperion
Skills:
snowflake , Python, Sql, Gen AI, data engineering design patterns, Microsoft DevOps, Matillion, Streamsets
