Amazon Web Services (AWS)We are looking for a hands-on Data Engineer to help build and manage our data platform for reporting, analytics, and future data science use cases.
The role will involve working with SQL, Python, PySpark, AWS, ETL/ELT pipelines, data warehouses, and BI/reporting tools. Our architecture may use technologies such as ClickHouse, Redshift, AWS Glue, Airflow, Step Functions, Lambda, S3, and CDC-based replication tools based on scale, cost, and operational needs.
Key Responsibilities
· Design, build, and maintain scalable ETL/ELT data pipelines from multiple databases, applications, and external systems.
· Build raw, cleaned, and business-ready data layers to support reporting, analytics, and future data science use cases.
· Write efficient SQL, Python, and PySpark jobs for data ingestion, transformation, validation, and processing.
· Implement workflow orchestration using Apache Airflow, AWS Glue, Step Functions, or similar tools.
· Work with data warehouses such as ClickHouse, Redshift, Snowflake, BigQuery, or similar.
· Support cross-service reporting as the architecture moves towards independent microservice databases.
· Build reusable reporting tables, aggregates, summaries, and basic data marts.
· Monitor, troubleshoot, and optimize data pipelines, warehouse queries, and processing jobs.
· Implement data quality checks for freshness, completeness, consistency, duplicates, and reconciliation.
· Support BI/reporting needs through tools such as Power BI, Metabase, Superset, Redash, or similar.
· Apply data governance, access control, security, and PII-handling best practices.
· Collaborate with engineering, DevOps, product, business, finance, risk, and support teams.
Required Skills
· Strong expertise in SQL for joins, aggregations, window functions, query optimization, and analytical reporting.
· Hands-on experience with Python for data processing, automation, validation, and scripting.
· Working experience with PySpark / Apache Spark for processing large datasets.
· Good understanding of ETL/ELT pipelines, data warehousing, and data modelling concepts.
· Experience with workflow orchestration using Apache Airflow, AWS Step Functions, AWS Glue, or similar tools.
· Experience with AWS data services such as S3, Glue, Lambda, Step Functions, Redshift, DMS, CloudWatch, or similar.
· Experience with any data warehouse such as ClickHouse, Redshift, Snowflake, BigQuery, or similar.
· Understanding of relational databases, preferably PostgreSQL.
· Ability to debug data mismatches, failed pipelines, slow queries, and data quality issues.
· Exposure to BI tools such as Power BI, Metabase, Superset, Redash, or similar.
Good ownership, problem-solving, communication, and collaboration skills.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Credilio Financial Technologies Pvt. Ltd.
About
Credilio is founded with the idea of digitizing the distribution value chain of personal finance products. The mission of Credilio is to create a nationwide army of multi-branded trained advisors who can assist in the digital onboarding of loans and cards. Credilio enables a small financial advisor to educate customers and recommend lending products that are best suited to meet their unique requirements and further enables them to subscribe for credit cards or loans digitally.
The company does this by providing a large range of product offerings and a customized recommendation tool through a simple mobile app that empowers advisors to be truly digital and future-ready. In addition, the platform allows for instant online approval by leveraging open banking APIs of Banks and NBFCs, thus making the purchase process transparent and paperless. It has reduced the average prospecting-to-onboarding time to less than 10 minutes in a single session as compared to the industry average of an interrupted process over 2-3 days.
A challenger start-up, Credilio is the brainchild of second-time entrepreneurial duo Mr. Aditya Gupta and Mr. Anand Kapadia. It’s backed by a clutch of Venture Capital funds namely Cornerstone Venture Capital Partners, Exfinity Venture Partners, and Param Capital founder Mukul Agarwal.
The platform currently partners with 20+ leading Banks and NBFCs and has over 10,000 Financial Advisors who have assisted more than 0.5 million customer applications getting processed fully digitally in a span of less than a year. The capital raised will power Credilio’s ambitious plans to meet an ARR of 100 cr. by March 2023 and serve 25 million customers through a million advisors in the next 3 years.
Tech stack
NodeJS (Node.js)
PostgreSQL
Flutter
Vue.jsPhotos
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon