Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.
If you are a Data Engineer Position looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
Role: Data Engineer
Location: Weehawken, NJ
Exp:8+ Years
We are seeking an experienced SQL & Python Data Engineer with a strong background in SQL development, performance tuning, and Python programming for data engineering . The ideal candidate will have expertise in advanced SQL queries, stored procedures, and query optimization , along with experience in Apache Airflow for workflow automation . The role involves working on large-scale data platforms , ensuring efficient data processing and ETL workflows .
✔ 8+ years of hands-on experience with SQL and Python programming.
✔ Expertise in writing complex SQL queries, stored procedures, functions, and performance tuning techniques .
✔ Strong experience in Python for data engineering use cases , including data transformation, ETL, and automation.
✔ Proficiency in query optimization, indexing, and partitioning strategies to improve SQL performance.
✔ Experience with Apache Airflow for workflow automation and scheduling.
✔ Strong analytical and problem-solving skills in handling large-scale data.
✔ Excellent communication and interpersonal skills , with the ability to work in high-performance environments.
➕ Working knowledge of Greenplum platforms for large-scale data processing.
➕ Experience with distributed databases and cloud-based data warehousing .
➕ Familiarity with data pipeline orchestration tools such as Prefect or Luigi .
➕ Knowledge of big data technologies (Hadoop, Spark, Kafka, etc.) .
➕ Exposure to DevOps practices for data engineering .
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