Skills:

• 5+ years working experience as a data or software engineer in a fast-paced growing company.
• Excellent SQL and Python knowledge strong hands-on data modeling and data warehousing skills and experience in transformations orchestrated through technologies such as dbt/cloud dataflow would be a plus.
• Strong experience applying software engineering best practices to analytics (e.g. version control, testing, and CI/CD)
• Power-user and expert in building scalable data warehouses and pipelines using some of Cloud tools such as Snowflake, AWS, Google Cloud, Cloud ETL tools such as Databricks (Spark/Azure)
• Solid experience with ETL/ELT processes, scheduling tools (e.g., Talend, Airflow) and API management tools
• Experienced with customer, marketing and/or web data (e.g., Salesforce, Google Analytics, AdWords, YouTube etc.)
• Good with data visualization tools and packages (e.g., Looker, Tableau, matplotlib)
• Strong attention to details to highlight and address data quality issues.
• Self- starter, motivated, responsible, innovative, and technology-driven individual who performs well both independently and as a team member.
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences.

Skill Set: Data Engineering & spark

Skill to Evaluate: Data Engineering, spark, SQL, Python, Snowflake, AWS, Google-Cloud, Cloud-ETL tools such as Databricks(Spark/Azure),Google-Analytics.

Experience: 5 to 8 Years

Location: Bangalore

Annual CTC: INR 21 - 24 LPA

Type: Hybrid

Candidate must be ready to take IInd round of interview face to face in Bangalore office.