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- Bachelors in computer science, science, or similar technical degree
- 10+ years of hands-on experience in building data pipeline using traditional ETL tech stack and big data technologies
- 5+ years of experience with traditional ETL/ELT technologies such as Talend, Informatica, SSIS, MPP, and NoSQL Databases with the recent experience on AWS cloud technologies
- 3+ years of experience with AWS services including S3, Lambda, Redshift, EMR, and RDS databases such as MySQL
- 3+ years of Expertise in Snowflake data modeling, ELT using Snowflake SQL or Modern Data Replication tools (i.e., Five Tran), Snowflake Store Procedures / UDF / advanced SQL scripting, and standard Data Lake / Data Warehouse concepts.
- 3+ years of experience with Hadoop, Hive, PySpark, Airflow, and Streaming Technologies (Kinesis/Kafka)
- 3+ years of experience in programming languages such as Python, R, Java, C#
- 3+ years of team management experience
- Experience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, VPC, SQS, RDS, ELB, EBS, S3, KMS, Redshift
- Experience in AWS MLOPS tools and understanding of the data science model development processes
- Solid experience in data modeling, star/snowflake schemas design/development, and dimensional modeling
- Proficient in Data warehousing theory, practice and combined with strong hands-on experience in data warehousing, frameworks development, and data architecture
- Hands-on experience in managing and delivering high-performance ETL solutions
- Must have experience in implementing the end to end data warehousing solution
- Excellent communication and collaboration skills
- Able to sell concepts and designs/benefits to multiple audiences
- Able to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures.
- Experience in .NET, C#, Java, Web Development is a plus
- Experience in Social Media Datasets such as Twitter, YouTube, Facebook, Instagram is a plus
- Experience in Google Clickstream, DFP, or Adobe Analytics datasets is a plus
- Experience in dealing with the Media content subscription-based datasets is a plus
- AWS Cloud Certification is a plus
- Experience in Media & Entertainment industry is a plusRole- Senior Data EngineerLocation- Stamford, CTDuration - Fulltime Must-Haves : 10+ years of hands-on experience in building data pipeline using traditional ETL tech stack and big data technologies5+ years of experience with traditional ETL/ELT technologies such as Talend, Informatica, SSIS, MPP, and NoSQL Databases with the recent experience on AWS cloud technologies3+ years of experience with AWS services including S3, Lambda, Redshift, EMR, and RDS databases such as MySQL3+ years of Expertise in Snowflake data modeling, ELT using Snowflake SQL or Modern Data Replication tools (i.e., Five Tran), Snowflake Store Procedures / UDF / advanced SQL scripting, and standard Data Lake / Data Warehouse concepts.3+ years of experience with Hadoop, Hive, PySpark, Airflow, and Streaming Technologies (Kinesis/Kafka)3+ years of experience in programming languages such as Python, R, Java, C#3+ years of team management experience Technical Experience Requirements
- Bachelors in computer science, science, or similar technical degree
- 10+ years of hands-on experience in building data pipeline using traditional ETL tech stack and big data technologies
- 5+ years of experience with traditional ETL/ELT technologies such as Talend, Informatica, SSIS, MPP, and NoSQL Databases with the recent experience on AWS cloud technologies
- 3+ years of experience with AWS services including S3, Lambda, Redshift, EMR, and RDS databases such as MySQL
- 3+ years of Expertise in Snowflake data modeling, ELT using Snowflake SQL or Modern Data Replication tools (i.e., Five Tran), Snowflake Store Procedures / UDF / advanced SQL scripting, and standard Data Lake / Data Warehouse concepts.
- 3+ years of experience with Hadoop, Hive, PySpark, Airflow, and Streaming Technologies (Kinesis/Kafka)
- 3+ years of experience in programming languages such as Python, R, Java, C#
- 3+ years of team management experience
- Experience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, VPC, SQS, RDS, ELB, EBS, S3, KMS, Redshift
- Experience in AWS MLOPS tools and understanding of the data science model development processes
- Solid experience in data modeling, star/snowflake schemas design/development, and dimensional modeling
- Proficient in Data warehousing theory, practice and combined with strong hands-on experience in data warehousing, frameworks development, and data architecture
- Hands-on experience in managing and delivering high-performance ETL solutions
- Must have experience in implementing the end to end data warehousing solution
- Excellent communication and collaboration skills
- Able to sell concepts and designs/benefits to multiple audiences
- Able to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures.
- Experience in .NET, C#, Java, Web Development is a plus
- Experience in Social Media Datasets such as Twitter, YouTube, Facebook, Instagram is a plus
- Experience in Google Clickstream, DFP, or Adobe Analytics datasets is a plus
- Experience in dealing with the Media content subscription-based datasets is a plus
- AWS Cloud Certification is a plus
- Experience in Media & Entertainment industry is a plus
- ID: #49333235
- State: Connecticut Stamford 06901 Stamford USA
- City: Stamford
- Salary: Depends on Experience
- Job type: Permanent
- Showed: 2023-02-21
- Deadline: 2023-04-18
- Category: Et cetera