Data Senior Engineer Jobs

Extensive knowledge of HR data management principles, data integration techniques, ETL processes, and data warehousing concepts.

Project management experience, including planning, coordinating, and monitoring project activities.

Strong expertise in working with HR systems, preferably with hands-on experience in implementing or migrating to Workday.

Experience in designing and implementing data warehousing solutions, including data modeling and dimensional structures.

Excellent analytical and problem-solving skills, with the ability to handle complex data challenges.

Effective communication and interpersonal skills, with the ability to collaborate with diverse stakeholders.

Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.

At least 2 years of experience with REST API development

Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.

Experience presenting to all levels of an organization

At least 2 years of experience contributing to financial decisions in the workplace.

Experience with big data tools: Hadoop, Spark, EventHub etc.

Solid understanding of Sparkincluding performance tuning.

Solid understanding of the AWS Platform

Ability to work with Business and technical stake holders independently with minimal guidance- Must have

Strong written and verbal communication and ability to articulate datawith the business stake holders - Must have

Location: Mountain View, California (Hybrid, 2 days a week onsite)

People management: Provide technical leadership, career development, coaching, and mentoring for engineers.

Experience in education or ed-tech

Basic Requirements of the Senior Data Engineer Manager:

Preferred Requirements of the Senior Data Engineer Manager:

10+ years of professional software development or data engineering experience

Strong knowledge of SQL, of datastores and their tradeoffs (including relational, columnar, and document stores), data modeling, data structures, data manipulation

Incorporating data processing and workflow management tools into pipeline design.

Manage automated unit and integration test suites.

Work collaboratively and communicate effectively with a small, motivated team of engineers and product managers.

Experience working with large data sets using SQL/Azure Data Lake/Spark, etc., to derive actionable insights is highly desirable.

Ship high-quality, well-tested, secure, and maintainable code.

Design, develop, and maintain data pipelines and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions.

Intermediate knowledge of statistics, and skills with exploratory data analysis using Python and basic knowledge in Snowflake is highly desirable.

Participate in the requirement gathering process and develop complex source to target mapping rules.

Manage risk by developing and enforcing data security policies.

Bachelor’s degree in information technology or related experience.

Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support.

3+ years of experience within data engineering experience using IBM InfoSphere 11.5 with a focus on analytics & data warehouse environments.

Deep knowledge and hands-on experience in technologies across all data lifecycle stages

Strong stakeholder management and ability to lead large organizations through influence

Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp.

5-7 years relevant experience in data engineering

Experience designing and implementing large-scale distributed data pipelines on AWS/Azure cloud (preferably AWS)

Advanced data modeling and dimensional modeling knowledge

Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

MUST: 5+ years experience with data aggregation, standardization, linking, quality checkmechanisms, and reporting.

MUST: 5+ years experience with big data technologies like Hadoop and Spark.

MUST: 5+ years experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools.

MUST: Solid understanding of Linux environments; strong knowledge of shell scripting and file systems.

Bachelor’s degree in relevant field such as Computer Science, Engineering, a related field, with 8-10 years of industry experience.

Strong analytical skills to analyze operational business workflows and identify data requirements and KPIs.

Analyze operational business workflows to understand data requirements, process dependencies, and key performance indicators (KPIs).

Apply critical thinking skills to identify and address data quality issues, anomalies, and inconsistencies in the data pipeline.

Utilize Python programming to develop data processing scripts, automate data workflows, and enhance data integration capabilities.

Leverage your analytical skills to identify patterns, trends, and insights from data to support business decision-making processes.

Utilize Snowflake, an innovative cloud-based data platform, to design and manage data warehousing solutions.

Collaborate with cross-functional teams to gather data requirements and implement data solutions.

Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Proven experience as a Data Engineer or similar role, preferably in a fast-paced environment.

Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery).

Solid knowledge of SQL and NoSQL databases.

Experience with version control systems (e.g., Git) and collaborative coding practices.

Highly developed organizational and time management skills.

Identify development and data quality issues and work with senior team members and management to mitigate

Accurately define and execute transformations, aggregations and other data manipulations to meet requirements

Bachelor's Degree or equivalent experience

6+ years of relevant experience in the following:

Advanced senior professional with wide ranging experience uses professional concepts and to resolve complex issues in creative and effective ways