a Snapshot Of Your Responsibilities

📍Core responsibility will be to efficiently collaborate across data Tech teams and help develop solutions by rapidly delivering value to our customers 📍Focus on data quality and consistency, manage processes and systems to monitor data quality, ensuring production data is accurate and available to Business key stakeholders within agreed upon SLA’s 📍Manage & build distributed, low latency, reliable data pipelines ensuring high availability & timely delivery of data 📍Focus on best practices and agreed upon solution design under data governance policies across Data platform 📍Adhere to data security and privacy by following proper access controls, key management and encryption techniques

What You Will Need

📍Education: Bachelor's degree in Computer Science or Applications, Information Systems, or related field 📍Work Experience : 3+ years of experience working with Modern Tech stacks such as Linux, iOS, Ruby, Python, AWS, Apache, MongoDB, Redshift, Snowflake, Fivetran and API services etc. 📍Proficient in advanced operating systems and programming languages to optimize performance using Linux/iOS/JavaScript/Python/Ruby 📍Experience working with Business Intelligence Platforms such as Looker, Tableau 📍Experience working with data acquisition and transformation tools such as FiveTran and DBT 📍Experience working with optimized & efficient Data loader ETL pipelines using Databricks, Snowflake etc. 📍Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow, 📍Experience working with any Data Observability/Data Quality platform such as Monte Carlo, Acceldata etc. 📍Experience working with AWS stack using container and serverless technologies 📍Experience deploying CI/CD pipelines using Github or Jenkins 📍Excellent communication skills and ability to work collaboratively with cross-functional teams