CDK Global is uniquely positioned at the heart of the automotive ecosystem, connecting the industry at every level.
Sr. Software Engineer
Location
United States
Posted
30 days ago
Salary
0
Seniority
Senior
Job Description
Sr. Software Engineer
CDK Global
Role Description Design and develop EMR pipelines by using AWS services like SQS QUEUE, EC2 instances, AWS data pipeline, S3 buckets, AWS glue, RDS and others. - Create extract-transform-load (ETL) EMR pipelines based on HADOOP, hive, Yarn resource manager, NIFI, spark and python frameworks in AWS. - Interpret the data mapping document to identify the source systems like SQL server and develop required spark transformations for ingesting the ETL data into titan platform. - Optimize spark jobs using Pyspark after complete analysis of multiple parameters and opportunities to improve the target systems along with data quality checks. - Create spark data frames/RDD's and load the data in different formats JSON, Parquet, AVRO, CSV and others. - Evaluate new architectures and technologies such as snowflake, Debezium and other tools to improve performance and efficiency of ETL tasks. - Responsible for completing the data requests from CDK product customers and help them debug and resolve any data quality issues in a timely manner. - Work closely with the CDK customers and provide the feedback to the CDK service team to improve reliability of our products. - Work in the scaled agile methodologies to increase the quality of the deliverables. - Monitor and resolve production 11/12 issues. - 100% Telecommuting. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Computer Engineering or a related field plus 5 years of professional experience as a Software Developer or related occupation. - Alternatively, a Master’s degree or foreign equivalent in Computer Science, Information Technology, Computer Engineering or a related field plus 3 years of professional experience as a Software Developer or related occupation. - Employment experience with: - Designing, developing, and migrating data pipelines to latest data frameworks such as Databricks. - Creating Extract-Transform-Load (ETL) pipelines based on Hadoop, Hive, Nifi, Spark and Python frameworks in cloud AWS/Snowflake. - Mapping data between source systems and data lake and developing required data transformations for ingesting the source data into data lake (TITAN Platform). - Creating spark data frames/RDD's and loading the data in different formats such as Json, Parquet, Avro, and CSV. - Evaluating new architectures and technologies such as Snowflake, Debezium, Kafka and other tools to improve performance and efficiency of ETL tasks. Requirements - Applicants must be legally authorized to work in the United States without the need for current or future employment-based visa sponsorship. - The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. Benefits - Medical, dental, and vision benefits. - Paid Time Off (PTO). - 401K Matching Program. - Tuition Reimbursement.
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