Job Title : Sr. Data Engineer

Qualification : B.Tech

Experience : 2 – 5 Years

Location : Bengaluru

Company Profile :

NeenOpal is dedicated to discovering valuable insights from your data to turn them into actionable business opportunities. Our objective is to craft intelligent models that streamline human cognition and foster data-driven decision-making. We achieve this through statistical models, leveraging data mining and predictive analytics to recommend strategic directions for any organization. Our mission is to bridge the divide between analytics and everyday decision-making by generating statistical insights and seamlessly incorporating them into the external environment within which the organization operates. We firmly believe that the power of analytics can significantly enhance decision-making processes, providing organizations with a distinct competitive edge. Drawing upon our deep expertise, we are well-equipped to understand our client’s specific needs and diligently pursue the realization of their defined business objectives.

Responsibilities/Skills :

• 2+ Years experience as an ETL developer with strong data architecture knowledge around data warehousing concepts, SQL development and optimization, and operational support models.
• Experience using Python to automate ETL/Data Processes jobs.
• Design and develop ETL and data processing solutions using data integration tools, python scripts, and AWS / Azure / On-Premise Environment.
• Experience / Willingness to learn AWS Glue / AWS Data Pipeline / Azure Data Factory for Data Integration.
• Develop and create transformation queries, views, and stored procedures for ETL processes, and process automation.
• Document data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance.
• Work with the data analytics team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake and then upon transformation, and transparently build lessons learned into future data quality assessments
• Solid experience with data modeling, business logic, and RESTful APIs.
• Solid experience in the Linux environment.
• Experience with NoSQL / PostgreSQL preferred
• Experience working with databases such as MySQL, NoSQL, and Postgres, and enterprise-level connectivity experience (such as connecting over TLS and through proxies).
• Experience with NGINX and SSL.
• Performance tune data processes and SQL queries, and recommend and implement data process optimization and query tuning techniques.

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