Vacancy expired!
- BE/B TECH/ MS in computer science or related technical field
- 3 years of experience in the field of data structures, building and managing data lakes
- Past experience in data engineering teams in consulting or other industries. CPG industry experience a plus.
- Experience in relational databases as well as unstructured data streams
- 3+ years of Python or Java development experience,
- Hands-on experience in SQL database design
- Experience with multiple data technologies and concepts such as Hive, Spark, SQL, Kafka, Sqoop, Infoworks, along with traditional relational database technologies such as Teradata, Oracle, SQL Server, etc
- Experience with data lake ETL & query technologies such as Denodo, Presto, Databricks
- 3+ years of experience with schema design and dimensional data modeling
- Experience designing, building and maintaining data processing systems
- Knowledge of predictive modeling, machine-learning tools and techniques
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus
- Proven self-starter who can move projects forward by filling in the gaps on Agile teams, from leading a design session to doing some test automation, to mentoring a teammate struggling with a new technology
- Experience in dealing with big as well as thick data(syndicated data like Nielsen and survey based)
- Expert in new age data platforms, understanding of relational as well as unstructured data, experience in data lake architecture and creation
- Proactively identify and manage escalation of potential issues, offering ideas for solutions.
- Experience with specific AWS technologies (such as Glue, S3, Redshift, EMR, and Kinesis) a plus
- Hands on with Machine learning concepts & skills - Regularization, Gradient-based optimization Hyper-parameter tuning, models like Random Forest
- Familiarity with Scala, Java or C is an asset
- Experience with data in sales, finance or supply chain a plus
Vacancy expired!