Omniskope - Senior Data Engineer - Python/Java/Scala

4 weeks ago

Bangalore, India Omniskope, Inc Full time

About the job :

At Omniskope, Our Mission is to accelerate digital transformation, keeping people at the forefront of what we do and doing it well by doing good. Our people are our employees, our customers, and the communities around us.

We are a growing company headquartered in Saint Louis, USA, expanding our Salesforce team in India. We partnered with industry leaders like Salesforce.com, Google, and Oracle to enhance customer business experiences.

Our expert services have made us a trusted technology partner to industry leaders across the United States. Omniskope is an excellent fit if you like small teams, are part of an initial growth team, and believe in impacting our customers, people, and communities.

There is ample opportunity for growth within the company, whether a trip to our HQ or applying for our open jobs in the USA, or just being closer to home and having flexible working hours. Ask us about the growth opportunities with us.

To simplify, We wanted to be your Platform for Success and make your dreams come true.

Our Values :

  • Customer Success & Excellence.
  • Own & Inspire
  • Never stop learning
  • Collaborate & Communicate
  • Empathic & People-First
  • Be a Multiplier
  • Foster Equality
  • Have fun
Job Summary:

We are seeking a talented and motivated Senior Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, implementing, and managing our data pipelines, databases, and overall data architecture.

You will work closely with our Data Scientists, Analysts, and stakeholders to ensure our data infrastructure meets business needs and supports data-driven decision-making.

Key Responsibilities :
  • Design, develop, and optimize scalable, high-performance data pipelines and ETL processes using modern programming languages and frameworks (e.g. Python, Scala, Apache Spark, Apache Beam).
  • Collaborate with cross-functional teams to understand data requirements and translate them into efficient data solutions.
  • Implement and manage cloud-based data storage solutions and databases (e.g., Amazon Redshift, Google BigQuery, Azure SQL Data Warehouse).
  • Create and maintain data models, data warehouses, and data lakes, ensuring data accuracy, consistency, and availability.
  • Utilize data integration tools and practices for seamless data flow and transformation across various systems.
  • Ensure data quality, data integrity, and data governance by implementing best practices and standards.
  • Work with the latest technologies and tools to keep our data infrastructure up-to-date and leverage advancements in the data engineering field.
  • Troubleshoot and resolve data-related issues, performance bottlenecks, and other technical problems.
  • Document data engineering processes, systems, and solutions for knowledge-sharing and training purposes.
Requirements :
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 7+ years of professional experience in Data Engineering or a related role.
  • Proficient in programming languages commonly used in data engineering (e.g. Python, Java, Scala).
  • Strong knowledge of database technologies and querying languages (SQL, NoSQL).
  • Experience with big data processing frameworks (e.g. Apache Spark, Apache Flink, Hadoop).
  • Familiarity with distributed computing and parallel processing.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and related services (e.g. AWS Glue, Azure Data Factory, GCP Dataflow).
  • Knowledge of data pipeline orchestration and workflow management tools (e.g. Apache Airflow, Luigi, Prefect).
  • Strong understanding of data warehousing concepts and practices.
  • Excellent problem-solving abilities and attention to detail.

Omniskope Inc is an Equal Employment Opportunity employer. This organization participates in E-Verify and conducts pre-employment criminal history background checks. Omniskope Inc. is committed to employing a diverse workforce.

(ref:hirist.tech)

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