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Data Engineer
4 months ago
Job Description:
Are you a data professional ready to join a dynamic team cracking the governments most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, Advana is the place for you
Our customer is seeking experienced Data Engineers to join our Advana team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Responsibilities:
Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
Maintain documentation for software applications, workflows, and processes.
Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
Requirements:
Secret clearance is required; TS/SCI clearance is preferred.
Minimum of 5 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Strong problem-solving skills and ability to solve complex data-related issues.
Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
Understanding of data modeling/visualization, database design principles, and data governance practices.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Detail-oriented mindset with a commitment to delivering high-quality results.
Must be in the DC Metro area and available to work onsite (Crystal City, VA and Alexandria, VA) 2-3 days per week.
Nice to Have:
Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
Recent DoD or IC-related experience.
Previous experience with Advana is a plus.
Skills:
secret, top secret, TS/SCI, data engineer, big data engineer, big data developer, hadoop, ETL, python, java, cloudera, data pipeline, big data, streamsets, NiFi, erpss, cloud apps, cloud de, Python, Sql, Data, Spark, Aws, Big data, Hadoop, Data warehouse, data lake, databricks, Etl, Scala, Cloud, Snowflake, Kafka, Data architecture, Data modeling, Pyspark, Power bi, Tableau, Pipeline, Sql server, Airflow, Data analysis
Top Skills Details:
secret, top secret, TS/SCI, data engineer, big data engineer, big data developer, hadoop, ETL, python, java, cloudera, data pipeline, big data, streamsets, NiFi, erpss,cloud apps,cloud de,Python,Sql,Data,Spark,Aws,Big data,Hadoop,Data warehouse,data lake
Experience Level:
Intermediate Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
