Lead Data Engineer

3 days ago

Gurgaon, Haryana, India StatusNeo Full time

Company Description

At StatusNeo, we are catalysts of transformation, empowering businesses through cutting-edge AI, automation, and cloud-first digital solutions. As experts in product & platform engineering, we deliver unparalleled user experience, design, and functionality. Our team consists of top-notch software engineers and product designers, handpicked from the industry's finest talent pool. Recognized for our innovation and collaboration, we have earned the prestigious Great Place To Work certification. Join StatusNeo and be a part of a culture that breeds success and excellence.

Responsibilities:


• Lead the design, development, and maintenance of scalable data pipelines and analytical workflows.


• Work extensively with large-scale tabular datasets to extract insights, optimize performance, and ensure high data quality.


• Write and optimize complex SQL queries and manage large datasets in BigQuery, Databricks, or other modern data warehouses.


• Collaborate with data scientists and business teams to prepare clean, reliable datasets for modeling and decision-making.


• Design efficient ETL/ELT processes to ingest, transform, and integrate structured and semi-structured data.


• Partner with engineering teams to design scalable data infrastructure and ensure system reliability.


• Mentor junior analysts/engineers and promote best practices in analytics engineering.

Qualification Requirements:

Educational:


• Bachelor's degree with at least 7 years of experience or Master's with at least 4 years of experience in Data Data Engineering, Computer Science, or a related field.

Technical:


• Proven expertise in working with large-scale tabular data for business intelligence, reporting, and advanced analytics.


• Expert-level proficiency in SQL and hands-on experience with BigQuery (mandatory).


• Strong knowledge of data modelling, query optimization, and performance tuning.


• Experience with ETL/ELT frameworks, data pipelines, and orchestration tools (e.g., Airflow, dbt).


• Familiarity with BI/visualization tools such as Looker, Power BI, Tableau.


• Exposure to cloud platforms (GCP/Azure) and their native data services.


• Experience with version control (Git) and CI/CD for data workflows is a plus.


• Strong understanding of data governance, lineage, and metadata management.

Other:


• Excellent analytical and problem-solving skills with strong attention to detail.


• Strong written and verbal communication skills in English.


• Ability to collaborate effectively across cross-functional teams.


• Strategic thinker with the ability to work independently under tight deadlines.


• Passion for building robust data foundations that enable advanced analytics and AI solutions.

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