Job Description

Company Consulting is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, religion, color, national origin, religious creed, gender, sexual orientation, gender identity, gender expression, age, genetic information, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Company is a software-enabled services provider, synonymous with SAP on Cloud, focused on delivering superior, highly automated Managed Services to Enterprise customers. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC. We partner with AWS, SAP, Microsoft and other global technology leaders.

Responsibilities Duties:

Develops and operationalizes data pipelines to create data sets that are made available for consumption (BI, Advanced analytics, APIs/Services). Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality, and orchestration. Designs, develops, and implements ETL/ELT processes using various ETL/ Replication tools Utilizing the cloud Data platforms such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and speed up delivery of our data products and services. Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization. Identifies, designs, and implements process improvements: automating manual processes, optimizing data delivery. Identifies ways to improve data reliability, efficiency, and quality of data management. Communicates technical concepts to non-technical audiences both in written and verbal form. Performs peer reviews for other data engineers’ work.

Key Skills:

Extensive experience working with various data sources (DB2, SQL Oracle, flat files (csv, delimited), APIs, XML, JSON. Advanced SQL skills. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. Strong understanding of database storage concepts (data lake, relational databases, NoSQL, data warehousing). Able to work in a fast-paced agile development environment BA/BS in Computer Science, Engineering, or equivalent software/services experience. Azure / AWS/GCP Certifications. Experience implementing data integration techniques such as event/message based integration (Kafka, Azure Event Hub), ETL. Experience with Git / Azure DevOps. Experience delivering data solutions through agile software development methodologies. Exposure to the retail industry. Excellent verbal and written communication skill

Experiance Qualifications:

5+ years’ experience engineering and operationalizing data pipelines with large and complex datasets. 5+ years’ experience with Data Modeling, ETL, and Data Warehousing. 3+ years’ hands-on experience with ETL/Data Replication tools. 2+ years’ hands-on experience with SAP tools like SLT, SAP Data services(BODS) 3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, AWS Redshift, Big Query , Snowflake and other cloud data platforms.

Benefits:

This may include training, health, insurance, commuting support, lunch service etc.