Senior Data Engineer

4 weeks ago

Pune, India Aim Plus Staffing Solutions Full time

Description : Position : Senior Data Engineer (AWS / GCP)Work Location : PuneMode : Work from officeDescription : The Senior Data Engineer will be responsible for designing, building, and maintaining high-performance, scalable data pipelines to support our consulting and analytics solutions. The Senior Data Engineer will work with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions.Responsibilities : - Create and maintain optimal Data Lake setup.- Assemble large and complex data sets that meet functional / non-functional business requirements.- Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.- Experience building and optimizing big data data pipelines, architectures and data sets.- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.- Build processes supporting data transformation, data structures, metadata, dependency and workload management.- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.- Strong project management and organizational skills.- Experience supporting and working with cross-functional teams in a dynamic environment.Technical Expertise : - 5+ years experience in Data Analytics / Data Engineering- Experience with Data Analytics services like EMR, Glue, Athena, Kinesis, MSK, Elasticsearch, Quicksight and Redshift.- Experience with Data Lake setup and Data warehouse on AWS/GCP.- Experience with big data tools : Hadoop, Spark, Kafka, Hive etc.- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.- Experience with data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.- Experience with stream-processing systems : Storm, Spark-Streaming, etc.- Experience with object-oriented/object function scripting languages : Python, Scala, etc- Experience with setting up HPC (High Performance Computing)- Experience working with cloud platforms (e.g. AWS, Azure, Google Cloud) and knowledge of machine learning concepts and algorithms are also desirable qualifications. (ref:hirist.tech)

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