Data Engineer at Red River

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Pipelines, Data Governance, Data Compliance, Data Transformation, Data Validation, Data Analytics, Airflow, DBT, Snowflake, Fivetran, Git, PostgreSQL, AWS, REST API

Industry

IT Services and IT Consulting

Description

The Data Engineer exercises judgment when following general instructions and works with minimal instruction to support the integration and automation of data solutions. This role focuses on data massaging, reconciliation, and analysis, resolving routine to semi-routine issues. Responsibilities include creating optimized SQL queries, managing data pipelines, and collaborating with cross-functional teams to ensure data accuracy and availability. What will you do: Write optimized and scalable complex SQL queries Automate data processing tasks using Python, focusing on cleaning and merging datasets. Manage data pipelines, including scheduling, monitoring, and debugging workflows. Collaborate with data engineers and IT teams to maintain data accessibility for stakeholders. Assist in developing automated tests to ensure the accuracy and integrity of data. Participate in version control and CI/CD processes for deploying and testing pipeline changes across environments. Work cross-functionally with analysts, engineers, and operations. Data stewardship including: data governance, data compliance, data transformation, data cleanliness, data validation, data audit/maintenance. Writing complex, highly-optimized SQL queries across large datasets, involved in SQL Query tuning and provided tuning recommendations Experienced in Data Analytics, hands-on experience of various Python libraries such as NumPy and Pandas Python development experience to massage, clean data and automate data extract and loads Expertise to convert raw data to processed data by merging, finding outliers, errors, trends, missing values and distributions in the data Expertise in Creating, Debugging, Scheduling and Monitoring jobs using Airflow, resolve performance tuning related issues and queries Foster collaboration among Data engineers, IT & other business groups to ensure data is accessible to FP&A team Scheduled a regular hot backup process and involved in the backup activities Strong analytical and problem-solving skills with ability to represent complex algorithms in software Develop automated unit tests, end-to-end tests, and integration tests to assist in quality assurance (QA) procedures What will you bring: Bachelor's or Master's degree in Computer Science, IT, Engineering or equivalent 5+ years of experience as a Data Engineer, BI Engineer, Systems Analyst in a company with large, complex data sources Working knowledge of DBT, Snowflake, Fivetran, Git and SQL or Python programming skills for data querying, cleaning, and presentation Build highly available, reliable and secured API solutions, experience working with REST API design and Implementation Working knowledge of relational databases (PostgreSQL, MSSQL, etc.), experience with AWS services including S3, Redshift, EMR and RDS Ability to manage multiple projects at the same time in a fast-paced team environment, across time zones, and with different cultures, while maintaining ability to work as part of a team The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner and planning knowledge would be an added advantage Detail-oriented and enthusiastic who is also focused and diligent on delivering results About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. 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Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

Responsibilities

The Data Engineer will create optimized SQL queries, manage data pipelines, and collaborate with cross-functional teams to ensure data accuracy and availability. This role involves automating data processing tasks and developing automated tests to ensure data integrity.