Lead Data Engineer (Armakuni)
Gujarat, Ahmedabad, India
Simform
Simform is a premier digital engineering services company specializing in Cloud/MACH architectures, Data, and AI to create digital experiences and scalable products.
We are looking for a Lead Data Engineer who is passionate about managing large amounts of data, eager to learn and accept challenges, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you
Roles and Responsibilities: · Experience working with AWS service for data ETL
· 5-8yrs years of Experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
· Experience in designing data models effectively to manage optimal performance.
· Designing, developing, monitoring, and maintaining end-to-end data pipelines
· Should have an extensive working knowledge of handling around 100GB of data in data ingestion, data processing and pipeline creation.
· Experience with designing and implementing complex high throughput distributed batch and/or real-time solutions using one of AWS Glue, Apache Kafka, AWS Kinesis, Spark, Flink and Apache Airflow
· Extensive hands-on experience implementing data migration, data processing, ETL, or ELT pipeline development and monitoring.
· Strong programming skills in Python, SQL skills for data analysis and reporting
· Should know about any Data Warehouse like Redshift, Snowflake, and BigQuery
· Proven ability to work independently, mentor peers and meet tight deadlines
· Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Postgres, SQL Server, MySQL
· Should know about NoSQL Database like MongoDB, Cassandra, Neptune
· Experience in writing complex queries, functions, store procedures, execution plans, Performance Tuning and Query Optimization, Indexing, Partitioning, and Denormalization
· Should be well versed with migration strategies by manual and automated processes
· Excellent interpersonal, communication skills (both verbal and written), and ability to interact effectively
· Should attend client calls independently
· AWS certification would be a big plus
Roles and Responsibilities: · Experience working with AWS service for data ETL
· 5-8yrs years of Experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
· Experience in designing data models effectively to manage optimal performance.
· Designing, developing, monitoring, and maintaining end-to-end data pipelines
· Should have an extensive working knowledge of handling around 100GB of data in data ingestion, data processing and pipeline creation.
· Experience with designing and implementing complex high throughput distributed batch and/or real-time solutions using one of AWS Glue, Apache Kafka, AWS Kinesis, Spark, Flink and Apache Airflow
· Extensive hands-on experience implementing data migration, data processing, ETL, or ELT pipeline development and monitoring.
· Strong programming skills in Python, SQL skills for data analysis and reporting
· Should know about any Data Warehouse like Redshift, Snowflake, and BigQuery
· Proven ability to work independently, mentor peers and meet tight deadlines
· Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Postgres, SQL Server, MySQL
· Should know about NoSQL Database like MongoDB, Cassandra, Neptune
· Experience in writing complex queries, functions, store procedures, execution plans, Performance Tuning and Query Optimization, Indexing, Partitioning, and Denormalization
· Should be well versed with migration strategies by manual and automated processes
· Excellent interpersonal, communication skills (both verbal and written), and ability to interact effectively
· Should attend client calls independently
· AWS certification would be a big plus
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
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Tags: Airflow AWS AWS Glue Big Data BigQuery Cassandra Data analysis Data pipelines Data warehouse ELT ETL Flink Kafka Kinesis MongoDB MySQL NoSQL Pipelines PostgreSQL Python RDBMS Redshift Snowflake Spark SQL
Region:
Asia/Pacific
Country:
India
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