Job Description

• Hyderabad/ Bengaluru, India

About the role:

Are you interested in solving complex business problems with the help of data and insights? Would you like business-focused data engineering experience in data & analytics? Do you want to be a part of the change transforming the business environment today? If yes, join us.

In this job, you will:

• experience working on large data volume data engineering problems.
• focus on business first and technology second.
• or might be required to travel to end-client sites. 

To join us, you should:

• lead the design, development, and maintenance of the data infrastructure for the enterprise.
• collaborate with data scientists, analysts, and other stakeholders to understand data needs and requirements. 
• develop and implement data pipelines to ingest, transform, and store data. 
• build and maintain data lakes and data warehouses. 
• ensure the data infrastructure is scalable, reliable, and secure. 
• mentor and coach team members to help them grow their skills and capabilities.
• Identify and address technical challenges and roadblocks in data engineering projects. 
• Communicate technical concepts and project progress to non-technical stakeholders. 
• Build and maintain relationships with key partners and stakeholders within the organization.

You must have the following:

• BTech/ Master’s degree or equivalent in Computer Science/Computer Engineering/IT, Technology, or related fields
• 5 to 8 years of experience in data engineering
• Excellent verbal and written communication skills 
• Experience in building and maintaining data pipelines using technologies such as Cloud Data Fusion, Cloud Dataflow, AWS, Azure Data Factory, Azure Stream Analytics, and Dell Boomi. (Any 2) 
• Experience in storing and processing data using technologies such as Big Query, Cloud Dataproc, AWS, Azure Synapse Analytics, Snowflake, Redshift, Cosmos DB. (Any 3) 
• Knowledge of managing data storage and access using technologies such as Cloud Storage, AWS, Azure Blob Storage, or Azure Data Lake Storage. (Any 1) 
• Knowledge of managing and deploying data infrastructure on GCP or Azure using technologies such as Cloud Composer, Azure Kubernetes Service, or Azure Container Instances (Any 2) 
• Knowledge of implementing security and access controls for data such as Cloud Identity and Access Management, AWS, Azure Active Directory, or Azure Private Link 
• Well-versed with data services, integration, ingestion, ELT/ETL, and data governance. 
• Experience in Security and Meta-driven Development. 
• Expertise on RDBMS (relational database management system) – writing complex SQL logics, DB/Query optimisation, Data Modelling, able to manage high data volume for mission critical applications. 
• Strong grip on programming using Python and PySpark. 
• Data pipeline lifecycle management and DataOps. 
• Expertise on using AWS, Azure DevOps or Google Cloud Build. (Any 1). 
• Preference to the candidates having Azure or GCP data engineer certification. (Any 1) 

Good to have:

• Application development understanding (Full Stack) 
• Experience in open-source tools like Kafka, Spark, Splunk, Superset etc. 
• Good understanding of analytics platform landscape that includes AI/ML 
• Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /Quick Sight, etc.   

About us

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We offer you:

• A first-hand experience with complex and interesting, purpose-driven data problems.
• An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change that is transforming the business environment today.  
• A chance to try things, and take risks. 
• Meaningful problems you’ll be proud of solving. 
• People you will be comfortable working with.