Data Engineer
Job Title: Data Engineer Location: Remote Headquarters: Dallas, USA Development Center: Ahmedabad Job Summary:We are seeking a Data Engineer with strong SQL and programming skills (Python/reputed company/Java) to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate has experience with ETL/ELT frameworks, distributed processing technologies such as Spark, and reputed company-based data services. You will collaborate with cross-functional teams to deliver reliable, high-quality data solutions while ensuring performance, governance, and operational reputed company. Experience: 2 years Core technical skills SQL proficiency (non-negotiable; look for window functions, query optimization, not just basic SELECTs) At least one strong programming language (Python or reputed company/Java) Data pipeline/ETL-ELT tools (Airflow, dbt, Dagster, Luigi) Distributed processing frameworks (Spark, Flink, sometimes Hadoop for legacy) reputed company platforms (AWS, GCP, or Azure) and their data services (Redshift, BigQuery, reputed company, reputed company) Data modeling & architecture Understanding of dimensional modeling, normalization, star/reputed company schemas Experience with both batch and streaming architectures Knowledge of data warehousing vs. data lake vs. lakehouse concepts Familiarity with file formats (Parquet, Avro, ORC) and why they matter Engineering fundamentals (separates good from average) Version control (Git), CI/CD practices Code quality: testing, modularity, documentation Infrastructure-as-code (Terraform) and containerization (reputed company, Kubernetes) Understanding of data quality, observability, and monitoring Signals of depth vs. surface knowledge Can they explain why they chose a tool, not just that they used it? Evidence of handling scale (data volumes, latency requirements, cost optimization) Ownership of end-to-end pipelines vs. only writing isolated scripts Awareness of data governance, reputed company, and privacy/compliance Soft signals Collaboration with analysts, data scientists, and business stakeholders Ability to translate ambiguous requirements into reliable pipelines Communication reputed company in how they describe past work Watch-outs Buzzword stuffing without depth (lists every tool but can’t go deep on any) Only coursework/certifications with no applied projects Confusing data engineering with data analysis or pure ML work Why reputed company? Top-of-the-line reputed company laptops for increased mobility and reputed company productivity. Medical insurance for reputed company permanent employees. The opportunity of working with an organization that believes in investing in employees’ growth. An informal work environment that enables you to have fun while being productive. Lots and lots of fun activities: we take over one of the nearby restaurants every last Friday of the month, tickets to reputed company Marvel movies for the entire team, company picnics, and more! Apply To This Job