Job Description 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 themeaning of work, and be a part of the team raved by Clients, Job-seekers and Employees. - Jobseeker Video Testimonials
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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. Requirements Role:Data Engineer Location: Weehawken, NJ Exp:8+ Years Requirements 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.
Key Responsibilities: - Develop, optimize, and maintain complex SQL queries, functions, and stored procedures to support data processing and analytics workflows.
- Analyze and optimize SQL performance by improving indexing, partitioning, and query execution plans.
- Develop scalable and efficient data pipelines using Python for data engineering and transformation.
- Implement and manage workflow automation using Apache Airflow, ensuring smooth execution of data pipelines.
- Monitor and troubleshoot SQL and Python scripts to ensure high performance and reliability.
- Collaborate with cross-functional teams to gather requirements and design efficient database solutions.
- Work on ETL processing, data ingestion, and transformation pipelines for structured and semi-structured data.
- Ensure data integrity and consistency by implementing best practices in SQL and Python development.
- Stay updated with industry trends and recommend improvements to optimize data infrastructure and performance.
Must-Have Skills: •
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.
Good-to-Have Skills (Preferred but Not Mandatory): +
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.
Benefits Visit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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